This roundtable discussion, first delivered in Jakarta, shares research into Indonesia's national deforestation estimate, with the objective of sharing approaches and ultimately improve the reliability of the estimate.
PhD research presentation at the workshop of the Climate Food and Farming Network, Dec. 2-4 at Aarhus University, Foulum. The Climate Food and Farming Network is an initiative of Copenhagen U., Aarhus U., and the CGIAR Research Program on Climate Change, Agriculture and Food Security.
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
PhD research presentation at the workshop of the Climate Food and Farming Network, Dec. 2-4 at Aarhus University, Foulum. The Climate Food and Farming Network is an initiative of Copenhagen U., Aarhus U., and the CGIAR Research Program on Climate Change, Agriculture and Food Security.
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
Characterizing Forest Dynamics and Carbon Biomass Assessment over Tropical P...Arief Wijaya
Presentation during International Carbon Symposium February 2015 in Jakarta, Indonesia. A.W would like to acknowledge to other contributors and funding partners which makes the work is possible. This work is presented within the framework of CIFOR Global Comparative Study on REDD+ Project
INTEGRATED TECHNOLOGY OF DATA REMOTE SENSING AND GIS TECHNIQUES ASSESS THE LA...acijjournal
The present study focuses on the nature and pattern of urban expansion of Madurai city over its
surrounding region during the period from 2003 to 2013. Based on Its proximity to the Madurai city,
Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land
use land cover map from satellite imagery using supervised classification. Find out the areas from the
classified data. The study is Based on secondary data, the satellite imagery has downloaded from GLCF
(Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery
Subset using Imagery software to clip the study area. The clipped satellite imagery has Send to prepare the
land use and land cover map using supervised classification.
Gaps, needs and options–A design study for long-term greenhouse gas observati...ILRI
Poster prepared by V. Jorch, M. Acosta, J. Beck, A. Bombelli, C. Brümmer, K. Butterbach-Bahl, B. Fiedler, E. Grieco, J. Helmschrot, W. Hugo, T. Johannessen, A. Körtzinger, W. Kutsch, A. López-Ballesteros, L. Merbold, E. Salmon, M. Saunders and B. Scholes for the SEACRIFOG project.
Comparing of Land Change Modeler and Geomod Modeling for the Assessment of De...IJAEMSJORNAL
The forest destruction, climate change and global warming can reduce an indirect forest benefit because forest is the largest carbon sink and it plays a very important role in global carbon cycle. To support reducing emissions from deforestation and forest degradation (REDD+) program, there is a need to understand the characteristics of existing Land Use/Cover Change (LUCC) modules. The aims of this study are 1) to calculate the rate of deforestation at Poso Regency; and 2) to compare the performance of LCM and GM for simulating baseline deforestation of multiple transitions based on model structure and predictive accuracy. The data used in this study are : 1) Indonesia tophographic map scale 1; 50.000, produced by Geospatial Information Agency (BIG), 2) Landcover maps (1990, 2000, and 2011) which were collected from the Director General of Forestry Planning, Ministry of Environment and Forestry. Meanwhile independent variables (environmental variables) such as : distance from the edge of the forest, the distance from roads, the distance from streams, the distance from settlement, elevation and slope. Landcover changes analysis was assessed by using Idrisi Terrset software and Geomod software. Landcover maps from 1990 and 2000 were used to simulate land-cover of 2011. The resulting maps were compared with an observed land-cover map of 2011. The predictive accuracy of multiple transition modeling was calculated by using Relative Operating Characteristics (ROC). The results show that the deforestation on the period of 1990-2011 reached 19,944 ha (3.55 %) or the rate of deforestation 949 ha year1. Based on the model structure and predictive accuracy comparisons, the LCM was more suitable than the GM for the asssement of deforestation.
Ecological gradient analyses of plant associations in the thandiani forests o...Shujaul Mulk Khan
Abstract: In the summers of 2012 and 2013, vegetation of Thandiani in the Western Himalayas of Pakistan was surveyed and quantified. We took evidence from relationships between 252 species and 11 measured environmental factors as well as changes in the associations’ structure among 50 analysed stations with 1500 m2 plots. We analysed how the plant associations differ and develop under the influence of their respective ecological gradients. Preliminary results showed that the family Pinaceae was the most abundant family with a
family importance value (FIV) of 1892.4, followed by Rosaceae with FIV = 1478.2. Rosaceae, represented by 20 species, was the most dominant family, followed by Asteraceae and Ranunculaceae with 14 and 12 species each, respectively. Analyses via CANOCO software version 4.5 and GEO database demonstrated strong correlations among species distributions and environmental variables, i.e. elevation, topography, and edaphic factors. Our findings show an increase in species diversity and richness from lower elevation (1290 m at sea level (m asl) to higher elevation (2626 m asl). It is evident that aspect, elevation, and soil factors were the decisive variables affecting qualitative and quantitative attributes of vegetation in the study area. The P value ≤ 0.002 confirms a significant impact of abiotic factors that bring variation in vegetation. A 3D view of the study area was generated in ArcScene showing all the five plant associations. Graphs of scatter plot, point profile, and 3D line profile were added to the layout of plant association maps. The habitats of the five association types overlapped broadly but still retained their specific individuality. The execution of GIS framework gave spatial modelling, which ultimately helped in the recognition of indicator species of specific habitat or association type. These findings could further be utilised
in devising the forest policy and conservation management. This study also opens new doors of research in the field of biogeography, systematics, and wildlife.
Irrigated Areas of China based on Satellite Sensors and National Statistics: Issues and Way forward from Global Irrigated Area Mapping - By Xueliang Cai, GIAM core team, International Water Management Institute (IWMI), May 23rd, 2007, Beijing
Soil Classification Using Image Processing and Modified SVM Classifierijtsrd
Recently the use of soil classification has gained more and more importance and recent direction in research works indicates that image classification of images for soil information is the preferred choice. Various methods for image classification have been developed based on different theories or models. In this study, three of these methods Maximum Likelihood classification MLC , Sub pixel classification SP and Support Vector machine SVM are used to classify a soil image into seven soil classes and the results compared. MLC and SVM are hard classification methods but SP is a soft classification. Hardening of soft classifications for accuracy determination leads to loss of information and the accuracy may not necessary represent the strength of class membership. Therefore, in the comparison of the methods, the top 20 compositions per soil class of the SP were used instead. Results from the classification, indicated that output from SP was generally poor although it performs well with soils such as forest that are homogeneous in character. Of the two hard classifiers, SVM gave a better output than MLC. Priyanka Dewangan | Vaibhav Dedhe "Soil Classification Using Image Processing and Modified SVM Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18489.pdf
How Earth observation can support monitoring wetlands and peatlandsCIFOR-ICRAF
Presented by Frank Martin Seifert of the European Space Agency at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
GFW partners (IUCN, BirdLife International, UNEP-World Conservation Monitoring Centre, and Resolve) will introduce a new initiative to increase the value and uptake of GFW for forest biodiversity conservation and planning. They share proposed methods for integrating a broad spectrum of biodiversity data into GFW and invite feedback on the overall “GFW Biodiversity” vision.
Towards the Improvement of National Forest Monitoring ApproachesCIFOR-ICRAF
This presentation, delivered at the International Workshop on Forest Carbon Emissions in Jakarta, examines the need to improve national forest monitoring approaches. CIFOR's Global Comparative Study and the importance of definition are discussed in the context of Indonesia.
Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical ...CIFOR-ICRAF
This presentation, presented at the 36th International Symposium on Remote Sensing of Environment, explains the importance of peatlands to Indonesia as well as their contribution to carbon emissions. ALOS PALSAR data and above ground biomass assessments are used to map peatlands.
Characterizing Forest Dynamics and Carbon Biomass Assessment over Tropical P...Arief Wijaya
Presentation during International Carbon Symposium February 2015 in Jakarta, Indonesia. A.W would like to acknowledge to other contributors and funding partners which makes the work is possible. This work is presented within the framework of CIFOR Global Comparative Study on REDD+ Project
INTEGRATED TECHNOLOGY OF DATA REMOTE SENSING AND GIS TECHNIQUES ASSESS THE LA...acijjournal
The present study focuses on the nature and pattern of urban expansion of Madurai city over its
surrounding region during the period from 2003 to 2013. Based on Its proximity to the Madurai city,
Preparation of various thematic data such Land use and Land cover using Land sat data. Create a land
use land cover map from satellite imagery using supervised classification. Find out the areas from the
classified data. The study is Based on secondary data, the satellite imagery has downloaded from GLCF
(Global Land Cover Facility) web site, for the study area (path101 row 67), the downloaded imagery
Subset using Imagery software to clip the study area. The clipped satellite imagery has Send to prepare the
land use and land cover map using supervised classification.
Gaps, needs and options–A design study for long-term greenhouse gas observati...ILRI
Poster prepared by V. Jorch, M. Acosta, J. Beck, A. Bombelli, C. Brümmer, K. Butterbach-Bahl, B. Fiedler, E. Grieco, J. Helmschrot, W. Hugo, T. Johannessen, A. Körtzinger, W. Kutsch, A. López-Ballesteros, L. Merbold, E. Salmon, M. Saunders and B. Scholes for the SEACRIFOG project.
Comparing of Land Change Modeler and Geomod Modeling for the Assessment of De...IJAEMSJORNAL
The forest destruction, climate change and global warming can reduce an indirect forest benefit because forest is the largest carbon sink and it plays a very important role in global carbon cycle. To support reducing emissions from deforestation and forest degradation (REDD+) program, there is a need to understand the characteristics of existing Land Use/Cover Change (LUCC) modules. The aims of this study are 1) to calculate the rate of deforestation at Poso Regency; and 2) to compare the performance of LCM and GM for simulating baseline deforestation of multiple transitions based on model structure and predictive accuracy. The data used in this study are : 1) Indonesia tophographic map scale 1; 50.000, produced by Geospatial Information Agency (BIG), 2) Landcover maps (1990, 2000, and 2011) which were collected from the Director General of Forestry Planning, Ministry of Environment and Forestry. Meanwhile independent variables (environmental variables) such as : distance from the edge of the forest, the distance from roads, the distance from streams, the distance from settlement, elevation and slope. Landcover changes analysis was assessed by using Idrisi Terrset software and Geomod software. Landcover maps from 1990 and 2000 were used to simulate land-cover of 2011. The resulting maps were compared with an observed land-cover map of 2011. The predictive accuracy of multiple transition modeling was calculated by using Relative Operating Characteristics (ROC). The results show that the deforestation on the period of 1990-2011 reached 19,944 ha (3.55 %) or the rate of deforestation 949 ha year1. Based on the model structure and predictive accuracy comparisons, the LCM was more suitable than the GM for the asssement of deforestation.
Ecological gradient analyses of plant associations in the thandiani forests o...Shujaul Mulk Khan
Abstract: In the summers of 2012 and 2013, vegetation of Thandiani in the Western Himalayas of Pakistan was surveyed and quantified. We took evidence from relationships between 252 species and 11 measured environmental factors as well as changes in the associations’ structure among 50 analysed stations with 1500 m2 plots. We analysed how the plant associations differ and develop under the influence of their respective ecological gradients. Preliminary results showed that the family Pinaceae was the most abundant family with a
family importance value (FIV) of 1892.4, followed by Rosaceae with FIV = 1478.2. Rosaceae, represented by 20 species, was the most dominant family, followed by Asteraceae and Ranunculaceae with 14 and 12 species each, respectively. Analyses via CANOCO software version 4.5 and GEO database demonstrated strong correlations among species distributions and environmental variables, i.e. elevation, topography, and edaphic factors. Our findings show an increase in species diversity and richness from lower elevation (1290 m at sea level (m asl) to higher elevation (2626 m asl). It is evident that aspect, elevation, and soil factors were the decisive variables affecting qualitative and quantitative attributes of vegetation in the study area. The P value ≤ 0.002 confirms a significant impact of abiotic factors that bring variation in vegetation. A 3D view of the study area was generated in ArcScene showing all the five plant associations. Graphs of scatter plot, point profile, and 3D line profile were added to the layout of plant association maps. The habitats of the five association types overlapped broadly but still retained their specific individuality. The execution of GIS framework gave spatial modelling, which ultimately helped in the recognition of indicator species of specific habitat or association type. These findings could further be utilised
in devising the forest policy and conservation management. This study also opens new doors of research in the field of biogeography, systematics, and wildlife.
Irrigated Areas of China based on Satellite Sensors and National Statistics: Issues and Way forward from Global Irrigated Area Mapping - By Xueliang Cai, GIAM core team, International Water Management Institute (IWMI), May 23rd, 2007, Beijing
Soil Classification Using Image Processing and Modified SVM Classifierijtsrd
Recently the use of soil classification has gained more and more importance and recent direction in research works indicates that image classification of images for soil information is the preferred choice. Various methods for image classification have been developed based on different theories or models. In this study, three of these methods Maximum Likelihood classification MLC , Sub pixel classification SP and Support Vector machine SVM are used to classify a soil image into seven soil classes and the results compared. MLC and SVM are hard classification methods but SP is a soft classification. Hardening of soft classifications for accuracy determination leads to loss of information and the accuracy may not necessary represent the strength of class membership. Therefore, in the comparison of the methods, the top 20 compositions per soil class of the SP were used instead. Results from the classification, indicated that output from SP was generally poor although it performs well with soils such as forest that are homogeneous in character. Of the two hard classifiers, SVM gave a better output than MLC. Priyanka Dewangan | Vaibhav Dedhe "Soil Classification Using Image Processing and Modified SVM Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18489.pdf
How Earth observation can support monitoring wetlands and peatlandsCIFOR-ICRAF
Presented by Frank Martin Seifert of the European Space Agency at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
GFW partners (IUCN, BirdLife International, UNEP-World Conservation Monitoring Centre, and Resolve) will introduce a new initiative to increase the value and uptake of GFW for forest biodiversity conservation and planning. They share proposed methods for integrating a broad spectrum of biodiversity data into GFW and invite feedback on the overall “GFW Biodiversity” vision.
Towards the Improvement of National Forest Monitoring ApproachesCIFOR-ICRAF
This presentation, delivered at the International Workshop on Forest Carbon Emissions in Jakarta, examines the need to improve national forest monitoring approaches. CIFOR's Global Comparative Study and the importance of definition are discussed in the context of Indonesia.
Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical ...CIFOR-ICRAF
This presentation, presented at the 36th International Symposium on Remote Sensing of Environment, explains the importance of peatlands to Indonesia as well as their contribution to carbon emissions. ALOS PALSAR data and above ground biomass assessments are used to map peatlands.
Mapping of Wood Carbon Stocks in the Classified Forest of Wari-Maro in Benin ...AI Publications
The Emissions Reducing program related to Deforestation and Forest Degradation (Redd +) calls for the development of approaches to quantify and spatialize forest carbon in order to design more appropriate forest management policies. The mapping of carbon stocks was done in the Wari-Maro Forest Reserve. To achieve this, forest inventory data (in situ) and remotely sensed data (Landsat 8 image) were used to construct a wood carbon stock forecasting model. Simple linear regression was used to test the correlation between these two variables. In situ surveys indicate that 64% of carbon stocks are contributed by forest formations, 32.72% are provided by savannah formations and 3.27% are from anthropogenic formations. The quantitative relationship between NDVI and carbon in situ shows a very good correlation with a high coefficient of determination R² = 91%. The carbon map generated from the model identified fronts of deforestation through their low carbon content. This remote sensing approach indicates that forest formations sequester 60% of forest carbon. The savannah formations reserve 33%, the anthropic formations bring only 6% of the stocks. Mapping has further captured the spatial variability among land use types, thus providing arguments to fully meet the objectives of Redd +.
Indonesia’s deforestation: Setting reference emission levels and understandin...CIFOR-ICRAF
This presentation examines the complex issue of determining reference emission levels for REDD+ in Indonesia, including competing historical, modeling and forward-looking approaches.
Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical P...CIFOR-ICRAF
This presentation, delivered by Arief Wijaya at the Joint GFOI/GOFC-GOLD Expert Workshop 2, focuses on mapping of tropical peatlands in Indonesia using SAR and optical sensors.
Assessment of Large Scale Land Cover Change Classification and Drivers of Def...CIFOR-ICRAF
This presentation, delivered at the 36th International Symposium on Remote Sensing of Environment, outlines the issue of national forest mapping in Indonesia. The importance and variability of forest definition is highlighted.
Assessment of Large Scale Land Cover Change Classification and Drivers of Def...CIFOR-ICRAF
This presentation, delivered to the 36th International Symposium on Remote Sensing of Environment in Berlin, explains common problems of forest mapping in Indonesia, and highlights the need for systematic accuracy assessment.
Continuous Cover Forestry: an alternative model for the sustainable managemen...Edward Wilson
This paper was presented at the Institute of Fisheries Management 7th Specialist Conference, on the theme "Forestry and Fisheries - Where Next?". The event took place at Rheged, Penrith, Cumbria, England on 21-23 April 2015.
The presentation provides an overview of the principles of Continuous Cover Forestry and its application to woodlands in Britain. In addition, information is provided on the opportunities and challenges associated with continuous cover forestry in wooded watersheds and catchments. There is a need for more case studies and long-term study of forest development and environmental interactions in watersheds.
Climate Change and Forest Management: Adaptation of Geospatial Technologiesrsmahabir
eraction with the environment, has led to increased concerns about the impact of such disruption on major areas of sustainable development. This has resulted in various innovations in technology, policy and forged alliances at regional and international scales in an effort to reduce humans’ impact on climate. Forests provide a suitable option for reducing the net amount of carbon dioxide in the atmosphere by acting as carbon sinks, thereby forming one part of a more complete solution for combating climate change. At the same time, forests are also sensitive to changes in climate, making sustainable forest management a critical component of present and future climate change strategies. This paper examines the contribution of geospatial technologies in supporting sustainable forest management, emphasizing its use in the classification of forests, estimation of their structure, detecting change and modeling of carbon stocks.
A MODEL TO ESTIMATE STORED CARBON IN THE UPLAND FORESTS OF THE WANGGU WATERSHEDAsramid Yasin
Abstract
Climate change coupled with deforestation has brought about an increase in greenhouse gas emissions in the
atmosphere. One way to control climate change is to reduce greenhouse gas emissions by maintaining the integrity
of natural forests and increasing the density of tree populations. This research aimed to (a) identifies the density
of stand trees in the upland forests of the Wanggu Watershed; (b) analyze the potential carbon stocks contained in
the upstream forests of the Wanggu Watershed; (c) develop a model to estimate potential carbon stocks in the
upland forests of the Wanggu Watershed. The land cover classification in this study used the guided classification
with the Object-Based Image algorithm. Normalized Difference Vegetation Index (NDVI) was employed as an
indicator of vegetation cover density. Field measurements were carried out by calculating the diameter of the stand
trees in 30 observation plots. Field biomass values were obtained through allometric equations. Regression analysis
was conducted to determine the correlation between NDVI densities and field biomass. The results showed that
the best equation for estimating potential carbon stocks in the Wanggu Watershed forest area was y = 3.48 (Exp.
7,435x), with an R2 of 50.2%. Potential above ground biomass carbon in the Wanggu Watershed based on NDVI
values was 414,043.26 tons in 2019, consist of protected forest areas of 279,070.15 tons and production forests of
134,973.11 tons. While total above biomass carbon based on field measurement reached 529,541.01 tons, consist
of protected forests of 419,197.82 tons and production forests of 110,343.20 tons.
Mejorando la estimación de emisiones GEI conversión bosque degradado a planta...CIFOR-ICRAF
Presented by Kristell Hergoualc'h (Scientist, CIFOR-ICRAF) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Inclusión y transparencia como clave del éxito para el mecanismo de transfere...CIFOR-ICRAF
Presented by Lauren Cooper and Rowenn Kalman (Michigan State University) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Avances de Perú con relación al marco de transparencia del Acuerdo de ParísCIFOR-ICRAF
Presented by Berioska Quispe Estrada (Directora General de Cambio Climático y Desertificación) at Workshop “Lecciones para el monitoreo transparente: Experiencias de la Amazonia peruana” on 7 Mei 2024 in Lima, Peru.
Land tenure and forest landscape restoration in Cameroon and MadagascarCIFOR-ICRAF
FLR is an adaptive process that brings people (including women, men, youth, local and indigenous communities) together to identify, negotiate and implement practices that restore and enhance ecological and social functionality of forest landscapes that have been deforested or degraded.
ReSI-NoC - Strategie de mise en oeuvre.pdfCIFOR-ICRAF
Re nforcer les S ystèmes d’ I nnovations
agrosylvopastorales économiquement
rentables, écologiquement durables et
socialement équitables dans la région du
No rd C ameroun
ReSI-NoC: Introduction au contexte du projetCIFOR-ICRAF
Renforcer les systèmes d’innovation agricole en vue de
promouvoir des systèmes de production agricole et
d’élevage économiquement rentables, écologiquement
durables et socialement équitables dans la région du
Nord au Cameroun (ReSI-NoC)
Renforcer les Systèmes d’Innovations agrosylvopastorales économiquement renta...CIFOR-ICRAF
Renforcer les Systèmes d’Innovations agrosylvopastorales économiquement rentables, écologiquement durables et socialement équitables dans la région du
Nord Cameroun
Introducing Blue Carbon Deck seeking for actionable partnershipsCIFOR-ICRAF
Presented by Daniel Murdiyarso (Principal Scientist, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
A Wide Range of Eco System Services with MangrovesCIFOR-ICRAF
Presented by Mihyun Seol and Himlal Baral (CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Presented by Citra Gilang (Research Consultant, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Peat land Restoration Project in HLG LonderangCIFOR-ICRAF
Presented by Hyoung Gyun Kim (Korea–Indonesia Forest Cooperation Center) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Sungsang Mangrove Restoration and Ecotourism (SMART): A participatory action ...CIFOR-ICRAF
Presented by Beni Okarda (Senior Research Officer, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Coastal and mangrove vulnerability assessment In the Northern Coast of Java, ...CIFOR-ICRAF
Presented by Phidju Marrin Sagala (Research Consultant, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Carbon Stock Assessment in Banten Province and Demak, Central Java, IndonesiaCIFOR-ICRAF
Presented by Milkah Royna (Student Intern, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Cooperative Mangrove Project: Introduction, Scope, and PerspectivesCIFOR-ICRAF
Presented by Bora Lee (Warm-Temperate and Subtropical Forest Research Center, NIFoS Jeju, Republic of Korea) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
1. Recent Study on National Deforestation
Estimate
Roundtable Discussion UKP4
Jakarta, 3 July 2015
Arief Wijaya1, Lou Verchot1, Daniel Murdiyarso1, Martin
Herold2, Arild Angelsen3, Erika Romijn2 and John-Herbert
Ainembabazi3
1 Forest and Environment Programme, Center for International Forestry
Research (CIFOR), Bogor, Indonesia
2 Center for Geo-Information Science, Wageningen University, Wageningen,
The Netherlands
3 Department of Plants and Environmental Sciences, Norwegian University of
Life Sciences (UMB), Oslo, Norway
2. Purpose of the study
Estimation of future carbon emissions from LULUCF sector
is yet challenging for Indonesia
Opportunity: Indonesia has several spatially explicit
deforestation maps/estimates
Objective of the talk: to share our approach to improve the
reliability of national deforestation estimate
3. Materials
Land cover map of MOF (2000-2012)
Annual deforestation map of University of Maryland (2000-2010)
Land cover change map of CRISP (2000-2010)
Stratified sample of land cover change map of EU-JRC (2000-2010)
7. Comparison of deforestation estimate
0
100
200
300
400
500
600
700
800
900
1000
AnnualDeforestation(x1000ha)
Indonesia MOFOR Indonesia Hansen
Indonesia JRC Indonesia Mean
9. Deforestation data and forest definitions
Source Resolution
MMU
Forest definition
MOFOR
Official
(Landsat)
6.25 ha Vegetation with canopy cover of more than 30% with minimum area
of 0.25 ha and tree height above 5 meter. Plantation forests (e.g.
Acacia, Eucalyptus, Teak, etc.) are considered as a forest
MOFOR
FAO
(Landsat)
6.25 ha Forest is defined by the FAO as land spanning more than 0.5 ha with
more than 10% tree canopy cover and trees higher than 5 m (or
having the potential to reach a height of 5 m).
CRISP
(MODIS)
25 ha Not defined
Hansen
(Landsat)
0.09 ha
0.36 ha
Forest tree cover was defined as greater than 25% canopy cover and
change was measured without regard to forest land use. All tree cover
assemblages that met the 25% threshold, including intact forests,
plantations, and forest regrowth, were defined as forests.
EU-JRC
(Landsat)
5 ha More than 5 m height, forest prop. In polygon (FP)>70, canopy cover
(CC)>10
10. Semi-automatic classification and visual
observation? Or different forest definitions?
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
00-03 03-06 06-09 09-11 11-12
Annualgrossdeforestation/treecoverloss(km2)
Ministry of Forestry gross deforestation Hansen tree cover loss
11. Working definition of different maps
Source Minimum
Mapping Unit
(MMU)
Forest Definition Image Classification
Approach
Indonesian Ministry
of Forestry (MOF)
62,500 m2 Canopy cover > 30%, Total area > 0.25 ha, tree
height above 5 meter. Plantation forests (e.g.
Acacia, Eucalyptus, Teak, etc.) are included
Visual observation of
satellite images, polygon
based classification
Hansen, et.al. 900 m2 Canopy cover > 25%, change measured
disregard to forest land use. Tree cover
assemblages the 25% threshold, including
intact forests, plantations, and forest
regrowth, were defined as forests
Semi-automatic
approach, pixel based
classification
12. Observations so far…
Forest definition matters
Selection of minimum mapping unit is important to
determine the smallest size of deforested areas
Different methods to classify satellite images may result in
different deforestation figures
Uncertainty of pixel- vs polygon-based classification