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International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-2, Issue-2, February 2014
29 www.erpublication.org

Abstract— Land use planning is a pre-requisite for initiating
any development programmes in hilly terrains, as it constitutes
an integral part in the preparation of sustained and effective
plans. The north-eastern region of India are often found lacking
in the practice of integrating scientific inputs and technology
while taking up important land development schemes. The
inherent practice of shifting cultivation in these regions have
rendered considerable destruction to both land resources and
environment. It is, thus, essential to understand the
consequences of these practices and to develop proper strategies
or land use plans which can counteract the detrimental effects
on environment, and at the same time improve productivity of
land. This study deals with the application of remote sensing
and GIS for land use planning in Lunglei district of Mizoram,
India. Indian Remote Sensing satellite data (LISS-III and
Cartosat-I) has been used for generating various GIS layers like
land use, slope, soil, drainage, etc. They were then integrated
with collected ground data to evolve a comprehensive land use
plan for the study area. The analysis in a GIS system helped in
bringing out maps and statistics with constructive options for
alternate land use plans in the study area which are both
productive and sustainable. This information will be very useful
at district level to plan according to the schemes and resources
available.
Index Terms— GIS, Lunglei, land use plan, remote sensing.
I. INTRODUCTION
Proper planning of land and its associated resources are
important for preserving the ecological balance between
natural resources development and conservation, particularly
in fragile and heterogeneous erosion-susceptible hilly
ecosystems. This further affects livelihood and economic
development as well. The utilization of land resources has its
impact on the biodiversity and environment of associated
region either positively or negatively depending on how it is
used in time and space. Population growth also has a part to
play, wherein, the pressure on land for daily requirements is a
prominent factor. The district has a decadal population
growth of 12.29% as per current census [1] which although
the lowest in the state, has a considerable impact of the land
use pattern of the area. There is still a need to evolve proper
methods of utilization, conservation and planning of land
Manuscript received February 07, 2014.
Dr.R.K.Lallianthanga, Project Director & Member Secretary, Mizoram
Remote Sensing Application Centre, Science & Technology, Aizawl,
Mizoram, Mobile No. 9436140957, (e-mail: rklthanga@yahoo.com).
Robert Lalchhanhima Sailo, Scientist, Mizoram Remote Sensing
Application Centre, Science & Technology, Aizawl, Mizoram, (e-mail:
robertsailo@yahoo.com).
Dr.Lalnunsiama Colney, Sr. Scientific Officer, Mizoram Remote
Sensing Application Centre, Science & Technology, Aizawl, Mizoram,
(e-mail: lnscolney@yahoo.com).
resource to keep pace with the basic requirements of the study
area.
Strategical plans and policies based on reliable and sound
technologies are the need of the hour. Several plans and
policies have been formulated and implemented to eradicate
the destructive and old land use system in the state by
providing the farmers with alternative solutions and
amenities. For example, Garden Colony, Jhum Control
Project, Mizoram Intodelh Project (MIP) and New Land Use
Policy (NLUP). These policies had basic objectives for
improving the rural economy and the socio-economic
condition of population. A policy with a coherent approach
for balancing productivity and conservation practices through
constant monitoring and identification of problem areas [2]
will go a long way in ensuring sustained utilization of natural
resources.
Remote Sensing and GIS techniques have large roles in
formulation of these plans and policies. Remote sensing is
particularly useful in inaccessible areas and GIS is an
effective tool for integrating data captured from different
sources to produce a picture on which certain decisions can be
made. Information on land use / land cover and possibilities
for their optimal use is essential for the selection, planning
and implementation of land use schemes to meet the
increasing dynamics of land use [3]. Previous studies done to
map the pattern of spatial distribution of various land use/land
cover categories and area coverage in Serchhip rural
development block highlighted the need for natural resource
based planning for proper utilization and conservation of
natural resources [4]. Similar studies based on satellite
Remote Sensing techniques has also formulated strategic land
and water resource development plans for Mat watershed,
Aizawl district and has proven the effectiveness of IRS data
for micro-level planning of rugged hilly terrain [5].
Geographic Information System (GIS), which has a strong
capacity in data integration, analysis and visualization has
become an important tool to support land use planning
approaches [6]. Advancement in this system has also helped
in evolving improved techniques of geospatial planning. In
the context of land use planning, geospatial techniques and
models have been researched and developed for its effective
use in sustainable development of natural resources by
integration of various GIS layers, which further demonstrates
that geospatial techniques help in generation of a reliable
spatial and non-spatial information database [7]. Geospatial
modeling techniques used for locating various levels of
biological richness has also been envisaged to be useful in
land-use zonation and planning for sustainable use of natural
resources [8].
Mapping of spatial patterns of land use, slope, drainage and
other related natural landforms and features based on fine
resolution Indian satellite data provides relevant, reliable and
A Remote Sensing & GIS approach for Land use
Planning in Lunglei District, Mizoram, India
Dr.R.K.Lallianthanga, Dr.Lalnunsiama Colney, Robert Lalchhanhima Sailo
A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India
30 www.erpublication.org
timely information as shown during the course of this study.
Besides facilitating the creation of a comprehensive
geo-database, spatial analysis in GIS has enabled the
generation of an environmentally and economically sound
land use plan for implementation in the study area.
II. MATERIALS AND METHOD
A. Study area
The study area - Lunglei District, is located in the southern
part of Mizoram, India between 23˚ 24’ 21.96” and 22˚ 29’
45.43” N latitudes and 92˚ 20’ 53.97” and 93˚ 10’ 01.82” E
longitudes [9]. It is bounded on the east by Myanmar
(Burma), on the west by Bangladesh, on the north by Mamit
and Serchhip districts and on the south by Lawngtlai and
Saiha district (Fig. 1). It is the largest district of the state with
a geographical area of 4536 sq.km.
Fig.1. Location map of Study area
The study area experiences moderate humid climate
conditions owing to its tropical location It is observed that the
average mean summer temperature is (April to June) 26.9°C
and average mean winter temperature (November to
February) is 20.7°C [10]. The area also receives heavy
rainfall as it is under the direct influence of south-west
monsoon. The average annual rainfall is 2618.6 mm [10].
According to the 2011 census, the total population of the
study area is 154.094 [1]. There are 3 notified towns [11] in
the study area. The District headquarter- Lunglei is well
connected by road and distance from the state capital, Aizawl
is 235 km [12].
Shifting cultivation is still the dominant form of
agricultural farming, though there are places where
Agri/Horticultural farms and plantations are taken up. The
forest type is mainly tropical wet evergreen mixed with
semi-evergreen and tropical moist deciduous forests
comprising mainly of bamboo. Deciduous forests are also
found to the western fringe with patches of grasslands.
B. Data used
IRS P6 LISS III and Cartosat I (stereo pair ortho kit)
satellite data were used to prepare base maps as well as map
the existing land use / land cover of the study area. Ancillary
data including past records/reports/maps collected from
various State Departments were used for reference and
collection of primary data. Survey of India Toposheets were
also referred for preparing base maps and obtaining
physiographic information..
C. Method
The study incorporates standard techniques of Remote
sensing and geographic information system (GIS) for
mapping of the land use/ land cover features. Image
processing and enhancements was done to increase the visual
perceptibility of land use features. Visual interpretation and
on-screen digitization techniques were used for classifying
and delineating the various land use / land cover classes from
the satellite data. Cartosat I data was utilized to derive and
generate other ancillary information (eg. roads, drainage) and
also used for generation of slope maps. These maps and GIS
layers constitute important base layer information of existing
natural resources which will later assist in preparation of
proposed plans.
A land use plan was generated on the basis of various
parameters of the present land use, slope percent and soil
conditions in the study area. There are various criteria
adopted for this purpose as given in Table 1 and the process of
generating these proposed land use systems were done in a
GIS environment. The inclusion of base layers like drainage,
road and slope were also important data during this planning
process. All these criteria were geospatially plotted in the GIS
system by executing relevant spatial queries and commands.
Ground truthing forms the core activity of the study. Pre-field
interpretations and plans prepared in map forms were,
therefore, subjected to evaluation on-site. Various field
information necessary for assessing and validating the
accuracy of the maps prepared were collected during ground
truth surveys. These were then incorporated during the final
stages of map corrections, accuracy assessment and plan
preparation at operational level.
International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-2, Issue-2, February 2014
31 www.erpublication.org
Table I. Guidelines for generation of Proposed Land use
systems.
(a) Present Land Use,
(b) Slope & (c) Soil
Proposed Land Use
(a) Single cropped
agricultural land, current
jhum, abandoned jhum,
Scrubland.
(b) 0 – 25%
(c) Fine Loamy Fluventic
Dystrochrepts and Fine
Loamy Fluvaquentic
Dystrochrepts, very deep,
good moisture.
Wet Rice Cultivation
(WRC)/ Pisciculture.
(a) Single cropped
agricultural land, current
jhum, abandoned jhum.
(b) 25 – 35%
(c) Fine Loamy Fluventic
Dystrochrepts and Fine
Loamy Fluvaquentic
Dystrochrepts, deep, good
moisture.
Terrace cultivation
(a) Current jhum, abandoned
jhum.
(b) 35 – 50%
(c) Fine Loamy Typic
Dystrochrepts. Loamy
Skeletal Umbric
Dystrochrepts and clayey,
Typic Haplohumults, very
deep, good moisture.
Agro-Horticulture
(a) Existing plantation.
current jhum & abandoned
jhum adjacent to road.
(b) 25 – 50%
(c) Fine Loamy Typic
Dystrochrepts. Loamy
Skeletal Typic Hapludults
and clayey, Typic
Haplohumults, very deep,
good moisture.
Agri/Horti plantations
(a) Scrub lands, hill
top/crest.
(b) 25 – 50%
(c) Loamy Skeletal Typic
Dystrochrepts, deep,
moderate moisture.
Silvi-pasture
(a) Current jhum, abandoned
jhum, Scrubland.
(b) More than 50%
(c) Loamy Skeletal Typic
Dystrochrepts and Loamy
Skeletal Typic Hapludults,
deep, moderate moisture.
Afforestation
(a) Forest (dense & open),
Forest plantations and
bamboo.
(b) Any slope
(c) Any soil type
To be conserved as
forest and bamboo
reserves
III. RESULTS AND DISCUSSION
A. Land Use / Land Cover
The major land use/land cover classes in the study area
were broadly classified into built-up land, agricultural
land/horticultural land, forests (dense and open), bamboo
forest, forest plantation, jhum land (current and abandoned
jhum/shifting cultivation), scrubland and water body. The
land use / land cover statistics is given in Table 2 and the map
shown in Fig.2.
Table I. Land Use / Land Cover statistics of study area
Land Use / Land Cover
categories
Sq.km %
Built-up 28.11 0.62
Wet Rice cultivation (WRC) 8.09 0.18
Agri/horti plantation 9.09 0.20
Dense Forest 639.10 14.09
Open Forest 1422.21 31.35
Bamboo 1871.09 41.25
Forest plantation 18.83 0.42
Current Jhum 157.59 3.47
Abandoned Jhum 326.39 7.20
Scrubland 18.95 0.42
Water Body 36.56 0.81
Total 4536.00 100.00
Fig.2. Land Use / Land Cover map of study area
A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India
32 www.erpublication.org
B. Slope
The study area has several ridges running parallel to each
other, roughly north to south. The eastern parts are steeper
compared to the western side. The western part bordering
Bangladesh are characterized by gently sloping and low-lying
hills. (Fig. 3). Plain areas are also dominant along these
fringes with the presence of several evenly distributed large
plain areas confined to the eastern part. Majority of these
plain areas are utilized for wet rice cultivation. The
north-eastern, north-western and central parts of the study
area are characterized by steeply sloping scarps and cliffs.
The hills in the eastern part are larger in areal extent compared
to those in the central and western part of the study area.
Fig.3. Slope map of study area
C. Soil
The soils found in the study area were mostly of red and
yellow loamy. They contained high amount of organic carbon
and were high in available nitrogen, low in phosphorus and
potassium content [9]. On the basis of their physico-chemical
and morphological properties, the soils found at order level
are: - (1) Entisols (2) Inceptisols and (3) Ultisols [13].
IV. LAND USE PLANNING
Land use planning using remote sensing and GIS
techniques in the study area was done keeping in mind the
objectives of making best use of available land for
socio-economic improvement and to facilitate dependence of
farmers on permanent farming system. The area statistics is
given in Table 3 and the map showing areas for various
proposed land development activities are shown in Fig. 4.
Various sustainable land use practices (as discussed below)
were modeled using the layers generated in GIS environment
and incorporating data from ground surveys.
Table 2. Proposed Land Use Plan for the study area
Proposed Land Use Plan SqKm %
WRC/Pisciculture 119.33 2.63
Terrace Cultivation 49.11 1.08
Agro-Horticultural system 157.13 3.46
Agri/Horti Plantation 9.05 0.20
Silvi-pastoral system 38.96 0.86
Afforestation 178.85 3.94
Forest 2067.17 45.58
Bamboo forest 1851.73 40.82
Non-Planned area
Water body 36.56 0.81
Built-up 28.11 0.62
Total 4536.00 100.00
Fig.4. Land Use Plan map for the study area
A. Wet Rice Cultivation / Pisciculture
There are a number of potential wet rice cultivation areas in
the study area along valley plains on the northern and western
flanks. Most of these areas are associated with existing farm
lands close to river banks. These areas can be brought under
crop cultivation along with the practice of Pisciculture. The
main components of the system are composite fish culture
with paddy or vegetables. The area proposed for this land use
system is 119.33 sq.km, which is 2.63% of the total study
area.
International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-2, Issue-2, February 2014
33 www.erpublication.org
B. Terrace Cultivation
Terrace farming proposed in the study area can ensure soil
and water conservation as well as suit the additional cropping
needs of the farmers on sloping lands. Good irrigation
facilities are the basic needs prior to laying out of a terrace
farm. Paddy as well as other crops can be cultivated in
rotation on these terraces. The analysis have shown that
terrace farming can be carried out in several places within the
study area. The proposed area for this form of farming
occupies 49.11 sq.km or 1.08% of the total study area.
C. Agro-Horticultural system
This system of farming refers to cultivation of fruit bearing
trees and field crops in many variations. Perennial crops,
seasonal crops and nitrogen fixing plants may be grown in
rotations. The recommended crops for this system include
Citrus spp., Maize (Zea mays), Pineapple (Ananus comosus),
Beans (Phaseolus vulgaris), Sugarcane (Saccharum
officinarum), etc. with vegetables and other root crops. The
proposed area for this system is 157.13 sq.km which is 3.46%
of the total study area.
D. Agriculture-Horticulture Plantation
Sites for plantation of agriculture and horticulture crops has
been identified in several places which suits the criteria of its
feasibility in terms of existing land use and slope Some
plantations have to be confined to specific locations keeping
in mind the socio-economic value of such plantations. The
species identified as suitable crops for plantation under this
system includes Tea (Camellia sinensis), Citrus (Citrus
reticulata), Broomgrass (Thysanolaena maxima), Ginger
(Zingiber officinale), Banana (Musa paradisiaca), etc. The
area proposed for taking up these plantations covers 9.05
sq.km or 0.20% of the total study area.
E. Silvi-pastoral system
In this system, fodder crops are cultivated along with trees.
Besides providing fuel and fodder, the system helps in
maintaining vegetative cover. Species having fodder,
firewood and fruit bearing values as well as adaptable to the
sites may be selected. Degraded scrublands and forests can be
utilized for this system. Other agroforestry systems such as
Agri-silvicultural systems, Agri-horti-pastural systems,
Horti-sericultural system, etc. can also be practiced on
suitable identified sites. The area proposed for this system of
land use is 38.96 sq.km which covers 0.86% of the total study
area.
F. Afforestation
Various afforestation programmes in which commercial
tree species are planted as Government or private plantations
like Teak (Tectona grandis), Pine (Pinus kesiya), Gamari
(Gmelina arborea) plantations have been taken up. The
wastelands can also be reclaimed through reforestation
programmes. The additional recommended species for this
system are –Acacia auriculiformis, Ficus spp., Michelia
champaca, Grevelia robusta, Mesua ferrae, etc and other
native tree species found in the area may also be planted under
such programmes. The area proposed for afforestation is
178.85 sq km of land or 3.94% of the total study area.
G. Forest
Forests of the study area comprises dense and open forests,
as well as forest plantations (Govt. owned and private). Open
forests generally refer to successive secondary successions of
fallow lands (7 years and above), once used for shifting
cultivation, but have remained unused for a long period of
time [14]. It is proposed that the existing forest cover and the
supply/community reserves be preserved, and additional
conservation techniques may be adopted to prevent
encroachment and exploitation of forests for unsolicited
commercial purposes. Voluntary organizations / NGOs can be
entrusted the task of forest conservation as well as extension
of the forests in the form of parks, etc. The proposed area
under tree forest is estimated to be 2067.17 sq km,
constituting 45.58 % of the total study area.
H. Bamboo forest
Bamboo forests constitutes a majority of the vegetation
type found in forests of the study area. They are confined to
lower altitudes and are generally found between 80-1400 m
MSL [15]. This important forest resources has faced the
natural phenomenon of flowering and its regeneration
(bamboo reserves) has to be protected to ensure diminishing
bamboo growing stock. Projects under the state and central
government can assist in ensuring the conservation and
rehabilitation of stocks. To recoup the bamboo forest, it is
proposed to conserve the existing stock which covers an area
of 1851.73 sq km, constituting 40.82% of the total study area.
V. CONCLUSION
The present study reveals the effectiveness of remote
sensing and GIS techniques for planning of alternate land use
systems which are not only sustainable and productive but
also helps in maintaining ecological balance. Sustained Land
use planning in the hilly terrains can be a challenging task as
there are many bio-physical and socio-economic factors to
consider. The present status of the study area shows a
dominant practice of shifting cultivation (10.67%) where only
a fraction of cultivable land (0.38%) is taken up for permanent
agricultural plantation and crop cultivation. It is observed that
there is good potential for Agricultural / Horticultural system
and Agriculture /Horticulture plantations. The land use plan
prepared in the study also focuses on conservation of of the
existing forests including bamboo forests to maintain
ecological balance while taking up improved and alternate
farming practices. The primitive form of agricultural practice
in the study area is deeply rooted in the cultural life of the
farmers, hence such problems should not be considered in
isolation but has to be solved through integrated planning with
scientifically sound approach, and also considering the
socio-economic obligations. Thus, remote sensing and GIS
can play an important role with its ability to incorporate both
spatial and non-spatial data to generate realistic and effective
land use plan. This technique of Land use planning can also be
adopted in other hilly terrains where the main focus is finding
an alternative to shifting cultivation and indentifying land for
productive form of crop production.
REFERENCES
A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India
34 www.erpublication.org
[1] Directorate of Census Operations, Census of India 2011. Provisional
Population Totals, Paper 2, Volume 1 of 2011. Mizoram series 1,
Directorate of Census Operations, Mizoram. pp: 2, 2011.
[2] Lallianthanga R.K., "Satellite Remote Sensing for Sustainable
Development of Mizoram in the 21st Century", Proc. of Symposium on
Science & Technology for Mizoram in the 21st Century, 17-18 June,
1999: Aizawl. pp. 155.
[3] Archana, Sandeep Kumar Kaushik, "Land use / Land cover mapping
of IGNP Command area in Bikaner District of Rajasthan.”, Int. J. of
Engineering Science & Research Technology, Vol.2, No.2, pp. 209,
2013.
[4] Lallianthanga R.K, Goswami D.C., "Land Use satellite mapping of
land cover patterns in Mizoram, India : A case study of Serchhip rural
development block, Aizawl district," Indian Journal of Landscape Sys.
& Eco. studies, Vol.20, pp. 64-68, 1997.
[5] Lallianthanga R.K, Goswami D.C., "Satellite Mapping of Shifting
cultivation in Mat Watershed, Aizawl District, Mizoram : An
Agro-Environmental perspective", Proc. of NAGI's (En.Region)
National Conference on Environment & Sustainable Development,
Vol.1, 13th & 14th Oct. 1998, Guwahati.
[6] Trung NH, Le Quang Tri, Mensvoort MEF van, Bregt A.K,
Application of GIS in land-use planning, a case study in the coastal
Mekong Delta of Vietnam, In: Proc. International Symposium on
Geoinformatics for Spatial Infrastructure Development in Earth and
Allied Sciences, Ho Chi Minh, Vietnam, 01-11 November 2006.
[7] Kushwaha SPS, Suchismita Mukhopadhyay, Hari Prasad V, Suresh
Kumar, "Sustainable development planning in Pathri Rao
sub-watershed using geospatial techniques," Current Science, Vol.98,
pp. 1486, 2010.
[8] Chandrashekhar MB, Sarnam Singh, P.S. Roy, "Geospatial modeling
techniques for rapid assessment of phytodiversity at landscape level in
western Himalayas, Himachal Pradesh," Current Science, Vol.84, pp.
669, 2003.
[9] MIRSAC, Natural Resources Mapping of Mizoram using Remote
Sensing and GIS, Lunglei District (A Project Report). State Remote
Sensing Centre, Science, Technology & Environment, Aizawl, 2007,
pp. 2, 43, 44, 53, 60.
[10] MIRSAC, Meteorological data of Mizoram. Mizoram Remote Sensing
Application Centre, Science & Technology, Aizawl, 2012, pp. 29, 31.
[11] Economics & Statistics, Statistical Handbook, Mizoram, Directorate
of Economics & Statistics, Govt. of Mizoram. pp. 152, 2010.
[12] NIC Lunglei (2014). Official Website of Lunglei District, Mizoram,
[Online]. Available: http://lunglei.nic.in/
[13] USDA, Soil taxonomy. A Basic system of soil classification for
interpreting soil surveys. US Department of Agriculture, Soil
Conservation Service, Robert E. Krieger Publishing Company Inc,
Krieger drive, Malabar, Florida 32950, 1988, pp. 179, 227, 349.
[14] Lallianthanga R.K, Goswami D.C., Sarma C.M., "Satellite Monitoring
of Secondary Succession subsequent to Shifting Cultivation : A Case
Study of Kolasib District, Mizoram", Journal of Ecology, Environment
& Conservation, Vol.5, No.1, pp. 32, 1999.
[15] Lallianthanga R.K & Sailo R.L., "Monitoring of bamboo flowering
using satellite remote sensing and GIS techniques in Mizoram, India",
Science Vision, Vol.12, No.4, pp. 147, 2012.
Dr. R.K.Lallianthanga has a Master of
Science (Botany) degree and a PhD degree
in Environmental Science using Remote
sensing technique from Guwahati
University. He has completed a Post
graduate Diploma in Remote Sensing and
GIS from IIRS Dehradun and Advance
Certificate in PC Application from NIIT. He
was working as Lecturer (Research
Associate) in Pachhunga University College in 1985. He joined the Science
and Technology department in 1988 as a Scientific Officer and is currently
serving as Project Director & Member Secretary in Mizoram Remote
Sensing Application Centre, and Principal Scientific Officer under
Directorate of Science & Technology. Currently he has 19 scientific
publications in national and international journals and had presented 3
papers in national symposiums and seminars.
Dr. Lalnunsiama Colney graduated in BSc
Agriculture from Assam Agriculture University and
has a Master's Degree in Sustainable Development
from Sikkim Manipal University. He has a Diploma
in Remote Sensing and GIS from IIRS, Dehradun
and has also completed Ph.D in 2014 under
Department of Horticulture, Aromatics and
Medicinal plants, Mizoram University. He joined
the Science and Technology department in 1988 as a Scientific Officer and is
currently serving as Senior Scientific Officer in Mizoram Remote Sensing
Application Centre (MIRSAC), Science & Technology. He has co-authored
and published 4 papers in national and international journals.
Robert Lalchhanhima Sailo has a Master's
Degree in Forestry from Mizoram University
with specialization in Agro-forestry. He also
holds an Advance diploma in computer science
from LCC and undergone 3 months training
programme on Remote Sensing and GIS at
NRSC, Hyderabad. He is currently working as a
Scientist under Mizoram Remote Sensing
Application Centre (MIRSAC), Science & Technology since 2004 and has 9
years of working experience in Remote sensing and GIS applications. He has
co-authored 11 papers in national and international scientific journals and
bulletin.

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Land Use Planning in Lunglei District Using Remote Sensing & GIS

  • 1. International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-2, February 2014 29 www.erpublication.org  Abstract— Land use planning is a pre-requisite for initiating any development programmes in hilly terrains, as it constitutes an integral part in the preparation of sustained and effective plans. The north-eastern region of India are often found lacking in the practice of integrating scientific inputs and technology while taking up important land development schemes. The inherent practice of shifting cultivation in these regions have rendered considerable destruction to both land resources and environment. It is, thus, essential to understand the consequences of these practices and to develop proper strategies or land use plans which can counteract the detrimental effects on environment, and at the same time improve productivity of land. This study deals with the application of remote sensing and GIS for land use planning in Lunglei district of Mizoram, India. Indian Remote Sensing satellite data (LISS-III and Cartosat-I) has been used for generating various GIS layers like land use, slope, soil, drainage, etc. They were then integrated with collected ground data to evolve a comprehensive land use plan for the study area. The analysis in a GIS system helped in bringing out maps and statistics with constructive options for alternate land use plans in the study area which are both productive and sustainable. This information will be very useful at district level to plan according to the schemes and resources available. Index Terms— GIS, Lunglei, land use plan, remote sensing. I. INTRODUCTION Proper planning of land and its associated resources are important for preserving the ecological balance between natural resources development and conservation, particularly in fragile and heterogeneous erosion-susceptible hilly ecosystems. This further affects livelihood and economic development as well. The utilization of land resources has its impact on the biodiversity and environment of associated region either positively or negatively depending on how it is used in time and space. Population growth also has a part to play, wherein, the pressure on land for daily requirements is a prominent factor. The district has a decadal population growth of 12.29% as per current census [1] which although the lowest in the state, has a considerable impact of the land use pattern of the area. There is still a need to evolve proper methods of utilization, conservation and planning of land Manuscript received February 07, 2014. Dr.R.K.Lallianthanga, Project Director & Member Secretary, Mizoram Remote Sensing Application Centre, Science & Technology, Aizawl, Mizoram, Mobile No. 9436140957, (e-mail: rklthanga@yahoo.com). Robert Lalchhanhima Sailo, Scientist, Mizoram Remote Sensing Application Centre, Science & Technology, Aizawl, Mizoram, (e-mail: robertsailo@yahoo.com). Dr.Lalnunsiama Colney, Sr. Scientific Officer, Mizoram Remote Sensing Application Centre, Science & Technology, Aizawl, Mizoram, (e-mail: lnscolney@yahoo.com). resource to keep pace with the basic requirements of the study area. Strategical plans and policies based on reliable and sound technologies are the need of the hour. Several plans and policies have been formulated and implemented to eradicate the destructive and old land use system in the state by providing the farmers with alternative solutions and amenities. For example, Garden Colony, Jhum Control Project, Mizoram Intodelh Project (MIP) and New Land Use Policy (NLUP). These policies had basic objectives for improving the rural economy and the socio-economic condition of population. A policy with a coherent approach for balancing productivity and conservation practices through constant monitoring and identification of problem areas [2] will go a long way in ensuring sustained utilization of natural resources. Remote Sensing and GIS techniques have large roles in formulation of these plans and policies. Remote sensing is particularly useful in inaccessible areas and GIS is an effective tool for integrating data captured from different sources to produce a picture on which certain decisions can be made. Information on land use / land cover and possibilities for their optimal use is essential for the selection, planning and implementation of land use schemes to meet the increasing dynamics of land use [3]. Previous studies done to map the pattern of spatial distribution of various land use/land cover categories and area coverage in Serchhip rural development block highlighted the need for natural resource based planning for proper utilization and conservation of natural resources [4]. Similar studies based on satellite Remote Sensing techniques has also formulated strategic land and water resource development plans for Mat watershed, Aizawl district and has proven the effectiveness of IRS data for micro-level planning of rugged hilly terrain [5]. Geographic Information System (GIS), which has a strong capacity in data integration, analysis and visualization has become an important tool to support land use planning approaches [6]. Advancement in this system has also helped in evolving improved techniques of geospatial planning. In the context of land use planning, geospatial techniques and models have been researched and developed for its effective use in sustainable development of natural resources by integration of various GIS layers, which further demonstrates that geospatial techniques help in generation of a reliable spatial and non-spatial information database [7]. Geospatial modeling techniques used for locating various levels of biological richness has also been envisaged to be useful in land-use zonation and planning for sustainable use of natural resources [8]. Mapping of spatial patterns of land use, slope, drainage and other related natural landforms and features based on fine resolution Indian satellite data provides relevant, reliable and A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India Dr.R.K.Lallianthanga, Dr.Lalnunsiama Colney, Robert Lalchhanhima Sailo
  • 2. A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India 30 www.erpublication.org timely information as shown during the course of this study. Besides facilitating the creation of a comprehensive geo-database, spatial analysis in GIS has enabled the generation of an environmentally and economically sound land use plan for implementation in the study area. II. MATERIALS AND METHOD A. Study area The study area - Lunglei District, is located in the southern part of Mizoram, India between 23˚ 24’ 21.96” and 22˚ 29’ 45.43” N latitudes and 92˚ 20’ 53.97” and 93˚ 10’ 01.82” E longitudes [9]. It is bounded on the east by Myanmar (Burma), on the west by Bangladesh, on the north by Mamit and Serchhip districts and on the south by Lawngtlai and Saiha district (Fig. 1). It is the largest district of the state with a geographical area of 4536 sq.km. Fig.1. Location map of Study area The study area experiences moderate humid climate conditions owing to its tropical location It is observed that the average mean summer temperature is (April to June) 26.9°C and average mean winter temperature (November to February) is 20.7°C [10]. The area also receives heavy rainfall as it is under the direct influence of south-west monsoon. The average annual rainfall is 2618.6 mm [10]. According to the 2011 census, the total population of the study area is 154.094 [1]. There are 3 notified towns [11] in the study area. The District headquarter- Lunglei is well connected by road and distance from the state capital, Aizawl is 235 km [12]. Shifting cultivation is still the dominant form of agricultural farming, though there are places where Agri/Horticultural farms and plantations are taken up. The forest type is mainly tropical wet evergreen mixed with semi-evergreen and tropical moist deciduous forests comprising mainly of bamboo. Deciduous forests are also found to the western fringe with patches of grasslands. B. Data used IRS P6 LISS III and Cartosat I (stereo pair ortho kit) satellite data were used to prepare base maps as well as map the existing land use / land cover of the study area. Ancillary data including past records/reports/maps collected from various State Departments were used for reference and collection of primary data. Survey of India Toposheets were also referred for preparing base maps and obtaining physiographic information.. C. Method The study incorporates standard techniques of Remote sensing and geographic information system (GIS) for mapping of the land use/ land cover features. Image processing and enhancements was done to increase the visual perceptibility of land use features. Visual interpretation and on-screen digitization techniques were used for classifying and delineating the various land use / land cover classes from the satellite data. Cartosat I data was utilized to derive and generate other ancillary information (eg. roads, drainage) and also used for generation of slope maps. These maps and GIS layers constitute important base layer information of existing natural resources which will later assist in preparation of proposed plans. A land use plan was generated on the basis of various parameters of the present land use, slope percent and soil conditions in the study area. There are various criteria adopted for this purpose as given in Table 1 and the process of generating these proposed land use systems were done in a GIS environment. The inclusion of base layers like drainage, road and slope were also important data during this planning process. All these criteria were geospatially plotted in the GIS system by executing relevant spatial queries and commands. Ground truthing forms the core activity of the study. Pre-field interpretations and plans prepared in map forms were, therefore, subjected to evaluation on-site. Various field information necessary for assessing and validating the accuracy of the maps prepared were collected during ground truth surveys. These were then incorporated during the final stages of map corrections, accuracy assessment and plan preparation at operational level.
  • 3. International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-2, February 2014 31 www.erpublication.org Table I. Guidelines for generation of Proposed Land use systems. (a) Present Land Use, (b) Slope & (c) Soil Proposed Land Use (a) Single cropped agricultural land, current jhum, abandoned jhum, Scrubland. (b) 0 – 25% (c) Fine Loamy Fluventic Dystrochrepts and Fine Loamy Fluvaquentic Dystrochrepts, very deep, good moisture. Wet Rice Cultivation (WRC)/ Pisciculture. (a) Single cropped agricultural land, current jhum, abandoned jhum. (b) 25 – 35% (c) Fine Loamy Fluventic Dystrochrepts and Fine Loamy Fluvaquentic Dystrochrepts, deep, good moisture. Terrace cultivation (a) Current jhum, abandoned jhum. (b) 35 – 50% (c) Fine Loamy Typic Dystrochrepts. Loamy Skeletal Umbric Dystrochrepts and clayey, Typic Haplohumults, very deep, good moisture. Agro-Horticulture (a) Existing plantation. current jhum & abandoned jhum adjacent to road. (b) 25 – 50% (c) Fine Loamy Typic Dystrochrepts. Loamy Skeletal Typic Hapludults and clayey, Typic Haplohumults, very deep, good moisture. Agri/Horti plantations (a) Scrub lands, hill top/crest. (b) 25 – 50% (c) Loamy Skeletal Typic Dystrochrepts, deep, moderate moisture. Silvi-pasture (a) Current jhum, abandoned jhum, Scrubland. (b) More than 50% (c) Loamy Skeletal Typic Dystrochrepts and Loamy Skeletal Typic Hapludults, deep, moderate moisture. Afforestation (a) Forest (dense & open), Forest plantations and bamboo. (b) Any slope (c) Any soil type To be conserved as forest and bamboo reserves III. RESULTS AND DISCUSSION A. Land Use / Land Cover The major land use/land cover classes in the study area were broadly classified into built-up land, agricultural land/horticultural land, forests (dense and open), bamboo forest, forest plantation, jhum land (current and abandoned jhum/shifting cultivation), scrubland and water body. The land use / land cover statistics is given in Table 2 and the map shown in Fig.2. Table I. Land Use / Land Cover statistics of study area Land Use / Land Cover categories Sq.km % Built-up 28.11 0.62 Wet Rice cultivation (WRC) 8.09 0.18 Agri/horti plantation 9.09 0.20 Dense Forest 639.10 14.09 Open Forest 1422.21 31.35 Bamboo 1871.09 41.25 Forest plantation 18.83 0.42 Current Jhum 157.59 3.47 Abandoned Jhum 326.39 7.20 Scrubland 18.95 0.42 Water Body 36.56 0.81 Total 4536.00 100.00 Fig.2. Land Use / Land Cover map of study area
  • 4. A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India 32 www.erpublication.org B. Slope The study area has several ridges running parallel to each other, roughly north to south. The eastern parts are steeper compared to the western side. The western part bordering Bangladesh are characterized by gently sloping and low-lying hills. (Fig. 3). Plain areas are also dominant along these fringes with the presence of several evenly distributed large plain areas confined to the eastern part. Majority of these plain areas are utilized for wet rice cultivation. The north-eastern, north-western and central parts of the study area are characterized by steeply sloping scarps and cliffs. The hills in the eastern part are larger in areal extent compared to those in the central and western part of the study area. Fig.3. Slope map of study area C. Soil The soils found in the study area were mostly of red and yellow loamy. They contained high amount of organic carbon and were high in available nitrogen, low in phosphorus and potassium content [9]. On the basis of their physico-chemical and morphological properties, the soils found at order level are: - (1) Entisols (2) Inceptisols and (3) Ultisols [13]. IV. LAND USE PLANNING Land use planning using remote sensing and GIS techniques in the study area was done keeping in mind the objectives of making best use of available land for socio-economic improvement and to facilitate dependence of farmers on permanent farming system. The area statistics is given in Table 3 and the map showing areas for various proposed land development activities are shown in Fig. 4. Various sustainable land use practices (as discussed below) were modeled using the layers generated in GIS environment and incorporating data from ground surveys. Table 2. Proposed Land Use Plan for the study area Proposed Land Use Plan SqKm % WRC/Pisciculture 119.33 2.63 Terrace Cultivation 49.11 1.08 Agro-Horticultural system 157.13 3.46 Agri/Horti Plantation 9.05 0.20 Silvi-pastoral system 38.96 0.86 Afforestation 178.85 3.94 Forest 2067.17 45.58 Bamboo forest 1851.73 40.82 Non-Planned area Water body 36.56 0.81 Built-up 28.11 0.62 Total 4536.00 100.00 Fig.4. Land Use Plan map for the study area A. Wet Rice Cultivation / Pisciculture There are a number of potential wet rice cultivation areas in the study area along valley plains on the northern and western flanks. Most of these areas are associated with existing farm lands close to river banks. These areas can be brought under crop cultivation along with the practice of Pisciculture. The main components of the system are composite fish culture with paddy or vegetables. The area proposed for this land use system is 119.33 sq.km, which is 2.63% of the total study area.
  • 5. International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-2, February 2014 33 www.erpublication.org B. Terrace Cultivation Terrace farming proposed in the study area can ensure soil and water conservation as well as suit the additional cropping needs of the farmers on sloping lands. Good irrigation facilities are the basic needs prior to laying out of a terrace farm. Paddy as well as other crops can be cultivated in rotation on these terraces. The analysis have shown that terrace farming can be carried out in several places within the study area. The proposed area for this form of farming occupies 49.11 sq.km or 1.08% of the total study area. C. Agro-Horticultural system This system of farming refers to cultivation of fruit bearing trees and field crops in many variations. Perennial crops, seasonal crops and nitrogen fixing plants may be grown in rotations. The recommended crops for this system include Citrus spp., Maize (Zea mays), Pineapple (Ananus comosus), Beans (Phaseolus vulgaris), Sugarcane (Saccharum officinarum), etc. with vegetables and other root crops. The proposed area for this system is 157.13 sq.km which is 3.46% of the total study area. D. Agriculture-Horticulture Plantation Sites for plantation of agriculture and horticulture crops has been identified in several places which suits the criteria of its feasibility in terms of existing land use and slope Some plantations have to be confined to specific locations keeping in mind the socio-economic value of such plantations. The species identified as suitable crops for plantation under this system includes Tea (Camellia sinensis), Citrus (Citrus reticulata), Broomgrass (Thysanolaena maxima), Ginger (Zingiber officinale), Banana (Musa paradisiaca), etc. The area proposed for taking up these plantations covers 9.05 sq.km or 0.20% of the total study area. E. Silvi-pastoral system In this system, fodder crops are cultivated along with trees. Besides providing fuel and fodder, the system helps in maintaining vegetative cover. Species having fodder, firewood and fruit bearing values as well as adaptable to the sites may be selected. Degraded scrublands and forests can be utilized for this system. Other agroforestry systems such as Agri-silvicultural systems, Agri-horti-pastural systems, Horti-sericultural system, etc. can also be practiced on suitable identified sites. The area proposed for this system of land use is 38.96 sq.km which covers 0.86% of the total study area. F. Afforestation Various afforestation programmes in which commercial tree species are planted as Government or private plantations like Teak (Tectona grandis), Pine (Pinus kesiya), Gamari (Gmelina arborea) plantations have been taken up. The wastelands can also be reclaimed through reforestation programmes. The additional recommended species for this system are –Acacia auriculiformis, Ficus spp., Michelia champaca, Grevelia robusta, Mesua ferrae, etc and other native tree species found in the area may also be planted under such programmes. The area proposed for afforestation is 178.85 sq km of land or 3.94% of the total study area. G. Forest Forests of the study area comprises dense and open forests, as well as forest plantations (Govt. owned and private). Open forests generally refer to successive secondary successions of fallow lands (7 years and above), once used for shifting cultivation, but have remained unused for a long period of time [14]. It is proposed that the existing forest cover and the supply/community reserves be preserved, and additional conservation techniques may be adopted to prevent encroachment and exploitation of forests for unsolicited commercial purposes. Voluntary organizations / NGOs can be entrusted the task of forest conservation as well as extension of the forests in the form of parks, etc. The proposed area under tree forest is estimated to be 2067.17 sq km, constituting 45.58 % of the total study area. H. Bamboo forest Bamboo forests constitutes a majority of the vegetation type found in forests of the study area. They are confined to lower altitudes and are generally found between 80-1400 m MSL [15]. This important forest resources has faced the natural phenomenon of flowering and its regeneration (bamboo reserves) has to be protected to ensure diminishing bamboo growing stock. Projects under the state and central government can assist in ensuring the conservation and rehabilitation of stocks. To recoup the bamboo forest, it is proposed to conserve the existing stock which covers an area of 1851.73 sq km, constituting 40.82% of the total study area. V. CONCLUSION The present study reveals the effectiveness of remote sensing and GIS techniques for planning of alternate land use systems which are not only sustainable and productive but also helps in maintaining ecological balance. Sustained Land use planning in the hilly terrains can be a challenging task as there are many bio-physical and socio-economic factors to consider. The present status of the study area shows a dominant practice of shifting cultivation (10.67%) where only a fraction of cultivable land (0.38%) is taken up for permanent agricultural plantation and crop cultivation. It is observed that there is good potential for Agricultural / Horticultural system and Agriculture /Horticulture plantations. The land use plan prepared in the study also focuses on conservation of of the existing forests including bamboo forests to maintain ecological balance while taking up improved and alternate farming practices. The primitive form of agricultural practice in the study area is deeply rooted in the cultural life of the farmers, hence such problems should not be considered in isolation but has to be solved through integrated planning with scientifically sound approach, and also considering the socio-economic obligations. Thus, remote sensing and GIS can play an important role with its ability to incorporate both spatial and non-spatial data to generate realistic and effective land use plan. This technique of Land use planning can also be adopted in other hilly terrains where the main focus is finding an alternative to shifting cultivation and indentifying land for productive form of crop production. REFERENCES
  • 6. A Remote Sensing & GIS approach for Land use Planning in Lunglei District, Mizoram, India 34 www.erpublication.org [1] Directorate of Census Operations, Census of India 2011. Provisional Population Totals, Paper 2, Volume 1 of 2011. Mizoram series 1, Directorate of Census Operations, Mizoram. pp: 2, 2011. [2] Lallianthanga R.K., "Satellite Remote Sensing for Sustainable Development of Mizoram in the 21st Century", Proc. of Symposium on Science & Technology for Mizoram in the 21st Century, 17-18 June, 1999: Aizawl. pp. 155. [3] Archana, Sandeep Kumar Kaushik, "Land use / Land cover mapping of IGNP Command area in Bikaner District of Rajasthan.”, Int. J. of Engineering Science & Research Technology, Vol.2, No.2, pp. 209, 2013. [4] Lallianthanga R.K, Goswami D.C., "Land Use satellite mapping of land cover patterns in Mizoram, India : A case study of Serchhip rural development block, Aizawl district," Indian Journal of Landscape Sys. & Eco. studies, Vol.20, pp. 64-68, 1997. [5] Lallianthanga R.K, Goswami D.C., "Satellite Mapping of Shifting cultivation in Mat Watershed, Aizawl District, Mizoram : An Agro-Environmental perspective", Proc. of NAGI's (En.Region) National Conference on Environment & Sustainable Development, Vol.1, 13th & 14th Oct. 1998, Guwahati. [6] Trung NH, Le Quang Tri, Mensvoort MEF van, Bregt A.K, Application of GIS in land-use planning, a case study in the coastal Mekong Delta of Vietnam, In: Proc. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Ho Chi Minh, Vietnam, 01-11 November 2006. [7] Kushwaha SPS, Suchismita Mukhopadhyay, Hari Prasad V, Suresh Kumar, "Sustainable development planning in Pathri Rao sub-watershed using geospatial techniques," Current Science, Vol.98, pp. 1486, 2010. [8] Chandrashekhar MB, Sarnam Singh, P.S. Roy, "Geospatial modeling techniques for rapid assessment of phytodiversity at landscape level in western Himalayas, Himachal Pradesh," Current Science, Vol.84, pp. 669, 2003. [9] MIRSAC, Natural Resources Mapping of Mizoram using Remote Sensing and GIS, Lunglei District (A Project Report). State Remote Sensing Centre, Science, Technology & Environment, Aizawl, 2007, pp. 2, 43, 44, 53, 60. [10] MIRSAC, Meteorological data of Mizoram. Mizoram Remote Sensing Application Centre, Science & Technology, Aizawl, 2012, pp. 29, 31. [11] Economics & Statistics, Statistical Handbook, Mizoram, Directorate of Economics & Statistics, Govt. of Mizoram. pp. 152, 2010. [12] NIC Lunglei (2014). Official Website of Lunglei District, Mizoram, [Online]. Available: http://lunglei.nic.in/ [13] USDA, Soil taxonomy. A Basic system of soil classification for interpreting soil surveys. US Department of Agriculture, Soil Conservation Service, Robert E. Krieger Publishing Company Inc, Krieger drive, Malabar, Florida 32950, 1988, pp. 179, 227, 349. [14] Lallianthanga R.K, Goswami D.C., Sarma C.M., "Satellite Monitoring of Secondary Succession subsequent to Shifting Cultivation : A Case Study of Kolasib District, Mizoram", Journal of Ecology, Environment & Conservation, Vol.5, No.1, pp. 32, 1999. [15] Lallianthanga R.K & Sailo R.L., "Monitoring of bamboo flowering using satellite remote sensing and GIS techniques in Mizoram, India", Science Vision, Vol.12, No.4, pp. 147, 2012. Dr. R.K.Lallianthanga has a Master of Science (Botany) degree and a PhD degree in Environmental Science using Remote sensing technique from Guwahati University. He has completed a Post graduate Diploma in Remote Sensing and GIS from IIRS Dehradun and Advance Certificate in PC Application from NIIT. He was working as Lecturer (Research Associate) in Pachhunga University College in 1985. He joined the Science and Technology department in 1988 as a Scientific Officer and is currently serving as Project Director & Member Secretary in Mizoram Remote Sensing Application Centre, and Principal Scientific Officer under Directorate of Science & Technology. Currently he has 19 scientific publications in national and international journals and had presented 3 papers in national symposiums and seminars. Dr. Lalnunsiama Colney graduated in BSc Agriculture from Assam Agriculture University and has a Master's Degree in Sustainable Development from Sikkim Manipal University. He has a Diploma in Remote Sensing and GIS from IIRS, Dehradun and has also completed Ph.D in 2014 under Department of Horticulture, Aromatics and Medicinal plants, Mizoram University. He joined the Science and Technology department in 1988 as a Scientific Officer and is currently serving as Senior Scientific Officer in Mizoram Remote Sensing Application Centre (MIRSAC), Science & Technology. He has co-authored and published 4 papers in national and international journals. Robert Lalchhanhima Sailo has a Master's Degree in Forestry from Mizoram University with specialization in Agro-forestry. He also holds an Advance diploma in computer science from LCC and undergone 3 months training programme on Remote Sensing and GIS at NRSC, Hyderabad. He is currently working as a Scientist under Mizoram Remote Sensing Application Centre (MIRSAC), Science & Technology since 2004 and has 9 years of working experience in Remote sensing and GIS applications. He has co-authored 11 papers in national and international scientific journals and bulletin.