The objective of this project was to use GIS based modeling to find land most susceptible to erosion along the Fennimore Fork, a tributary of the Blue River which drains directly into the lower Wisconsin River.
The document presents a study on retrieving soil moisture under vegetation using dual polarized ALOS PALSAR data. Field measurements were taken at a test site to measure soil properties and vegetation characteristics. PALSAR data from multiple dates was processed to generate HH and HV backscatter images and polarimetric decompositions. An empirical grassland soil moisture retrieval model was developed that accounts for effects of the grass canopy and thatch layer on the radar signal. The model was used to generate high resolution surface soil moisture distribution maps for the test site.
The document outlines objectives and criteria for selecting a suitable site for dam construction and catchment area in Lavale, Pune, Maharashtra. The objectives are to study software like Q-GIS and ENVI, find an area fulfilling requirements of soil, rainfall, slope, and generate land use classification from satellite images. Key criteria for the site include gentle slopes, adequate rainfall, permeable soils, away from settlements, and favorable watershed/stream flow. Various maps are analyzed to identify areas meeting these criteria and suitability is rated to determine the optimal location.
Modelling Water & Salinity in the Kulin CatchmentGraeme Cox
Presentation on Modelling Water & Salinity in the Kulin Catchment using MIKE SHE by Dr Graeme Cox at the Kulin Community Consultation Meeting 6-7 April 2009
Small-scale deforestation monitoring in Juma REDD projectCIFOR-ICRAF
Effectively monitoring deforestation is a crucial component for the success of REDD (Reducing Emissions from Deforestation and forest Degradation). In this presentation, Florian Reimer from South Pole Carbon compared techniques for monitoring small-scale deforestation in Juma reserve, exploring three classification methods: PRODES, CLASlite and ImageSVM. He found that using one model over another could avoid underdetection worth roughly US$1 million over four years, a compelling argument for careful selection of techniques depending on the characteristics of the region.
Florian Reimer gave this presentation on 8 March 2012 at a workshop organised by CIFOR, ‘Measurement, Reporting and Verification in Latin American REDD+ Projects’, held in Petropolis, Brazil. Credible baseline setting and accurate and transparent Measurement, Reporting and Verification (MRV) of results are key conditions for successful REDD+ projects. The workshop aimed to explore important advances, challenges, pitfalls, and innovations in REDD+ methods — thereby moving towards overcoming barriers to meeting MRV requirements at REDD+ project sites in two of the Amazon’s most important REDD+ candidate countries, Peru and Brazil. For further information about the workshop, please contact Shijo Joseph via s.joseph (at) cgiar.org
This document describes two algorithms for determining water depth from high-resolution satellite imagery: a standard linear transform algorithm and a new ratio transform algorithm. The linear transform requires tuning five parameters and does not work for very low albedo bottoms, while the ratio transform requires tuning only two parameters and can handle low albedo features. Both algorithms were tested on IKONOS imagery of two coral reef atolls in the Hawaiian Islands against lidar bathymetry data. The ratio transform performed as well as the linear transform and was more robust, stable between areas, and able to retrieve depths over 25m. However, it was also slightly noisier and had trouble resolving fine structures below 15-20m depth.
This study investigated the potential for nutrients from a headland-stacked poultry manure pile to move into groundwater at two sites. At one site with shallower groundwater, increased nitrate levels were detected after a large storm event, while no increase was found at the deeper site. The results suggest current regulations for siting manure piles are effective in preventing groundwater impacts, but unusually large storms could pose a risk, especially at locations with shallow groundwater.
The document presents a study on retrieving soil moisture under vegetation using dual polarized ALOS PALSAR data. Field measurements were taken at a test site to measure soil properties and vegetation characteristics. PALSAR data from multiple dates was processed to generate HH and HV backscatter images and polarimetric decompositions. An empirical grassland soil moisture retrieval model was developed that accounts for effects of the grass canopy and thatch layer on the radar signal. The model was used to generate high resolution surface soil moisture distribution maps for the test site.
The document outlines objectives and criteria for selecting a suitable site for dam construction and catchment area in Lavale, Pune, Maharashtra. The objectives are to study software like Q-GIS and ENVI, find an area fulfilling requirements of soil, rainfall, slope, and generate land use classification from satellite images. Key criteria for the site include gentle slopes, adequate rainfall, permeable soils, away from settlements, and favorable watershed/stream flow. Various maps are analyzed to identify areas meeting these criteria and suitability is rated to determine the optimal location.
Modelling Water & Salinity in the Kulin CatchmentGraeme Cox
Presentation on Modelling Water & Salinity in the Kulin Catchment using MIKE SHE by Dr Graeme Cox at the Kulin Community Consultation Meeting 6-7 April 2009
Small-scale deforestation monitoring in Juma REDD projectCIFOR-ICRAF
Effectively monitoring deforestation is a crucial component for the success of REDD (Reducing Emissions from Deforestation and forest Degradation). In this presentation, Florian Reimer from South Pole Carbon compared techniques for monitoring small-scale deforestation in Juma reserve, exploring three classification methods: PRODES, CLASlite and ImageSVM. He found that using one model over another could avoid underdetection worth roughly US$1 million over four years, a compelling argument for careful selection of techniques depending on the characteristics of the region.
Florian Reimer gave this presentation on 8 March 2012 at a workshop organised by CIFOR, ‘Measurement, Reporting and Verification in Latin American REDD+ Projects’, held in Petropolis, Brazil. Credible baseline setting and accurate and transparent Measurement, Reporting and Verification (MRV) of results are key conditions for successful REDD+ projects. The workshop aimed to explore important advances, challenges, pitfalls, and innovations in REDD+ methods — thereby moving towards overcoming barriers to meeting MRV requirements at REDD+ project sites in two of the Amazon’s most important REDD+ candidate countries, Peru and Brazil. For further information about the workshop, please contact Shijo Joseph via s.joseph (at) cgiar.org
This document describes two algorithms for determining water depth from high-resolution satellite imagery: a standard linear transform algorithm and a new ratio transform algorithm. The linear transform requires tuning five parameters and does not work for very low albedo bottoms, while the ratio transform requires tuning only two parameters and can handle low albedo features. Both algorithms were tested on IKONOS imagery of two coral reef atolls in the Hawaiian Islands against lidar bathymetry data. The ratio transform performed as well as the linear transform and was more robust, stable between areas, and able to retrieve depths over 25m. However, it was also slightly noisier and had trouble resolving fine structures below 15-20m depth.
This study investigated the potential for nutrients from a headland-stacked poultry manure pile to move into groundwater at two sites. At one site with shallower groundwater, increased nitrate levels were detected after a large storm event, while no increase was found at the deeper site. The results suggest current regulations for siting manure piles are effective in preventing groundwater impacts, but unusually large storms could pose a risk, especially at locations with shallow groundwater.
C2VSim Workshop 3 - C2VSim Land Surface RepresentationCharlie Brush
The California Central Valley Groundwater-Surface Water Simulation Model (C2VSim) simulates the monthly response of the Central Valley’s groundwater and surface water flow system to historical stresses, and can also be used to simulate the response to projected future stresses. C2VSim contains monthly historical stream inflows, surface water diversions, precipitation, land use and crop acreages from October 1921 through September 2009. The model dynamically calculates crop water demands, allocates contributions from precipitation, soil moisture and surface water diversions, and calculates the groundwater pumpage required to meet the remaining demand.
POLARIMETRIC IMPLICATIONS OF INCIDENCE ANGLE VARIABILITY FOR UAVSARgrssieee
This document discusses how the incidence angle of radar data from NASA's UAVSAR instrument, which can vary significantly, may impact polarimetric classifications. It presents a statistical analysis of scattering mechanisms for different land cover classes in Yellowstone National Park as the incidence angle changes. The analysis finds that the dominant scattering mechanism, such as surface, double bounce, or volume scattering, varies strongly with incidence angle for all classes. Surface scattering generally decreases with higher incidence angles, while double bounce and volume scattering increases. This effect is most pronounced over smooth surfaces like barren ground and emergent wetlands. The variability in incidence angle from airborne platforms like UAVSAR could therefore pose challenges for polarimetric classification and radiometric terrain
Water makes up 75-85% of a plant's composition and provides several important functions. Proper water management considers soil properties, plant factors, irrigation systems, and environmental conditions to meet turfgrass water needs. Overwatering can harm turfgrass health while proper irrigation replenishes soil water to support the plant without exceeding its needs. Determining irrigation amounts involves monitoring soil moisture, weather, and the specific turfgrass species and site characteristics.
The document evaluates SMAP soil moisture algorithms using SMOS data. SMOS data was reprocessed to simulate SMAP observations at 40 degrees incidence angle. The Single Channel Algorithm was implemented using this SMOS/SMAP data set with different ancillary datasets. Initial results show the SCA using MODIS data performs well compared to in situ observations. Using vegetation polarization also performs satisfactorily, though vegetation parameters may need to be specific to land cover types to reduce bias in different areas. Overall results indicate SMAP algorithms can meet the target 0.04 m3/m3 accuracy requirement with further analysis and research. This evaluation will help select and develop the SMAP passive level 2 soil moisture algorithm.
This document contains answers to remote sensing questions. It discusses how different factors like crop type, growth stage, soil conditions and weather impact spectral signatures. It also addresses how field checks are used to identify crop types and validate remote sensing data. Additional questions cover topics like spatial resolution advantages of different satellites, using imagery to monitor drought conditions and vegetation patterns across continents.
This document summarizes a GIS and remote sensing portfolio that includes various maps, analyses, and case studies demonstrating techniques including:
- A spatial correlation analysis of autism and environmental factors
- A cartogram mapping banana exports from South America to the USA
- Viewshed analysis of radio coverage in Dona Ana County, NM
- Comparison of GDP and quality of life indicators for countries
- Analysis of organic crops versus pesticide usage in California
- Assessment of invasive salt cedar species along the Rio Grande from 1936-2009 using image processing techniques
- Land cover classification of an area in Arizona comparing different algorithms
- Accuracy assessment of land cover classifications using error matrices and bar graphs
- Change detection visualization
A geomatics approach to the interpretation of Ground Penetrating Radar (GPR)Stuart Glenday
Presentation to Dept. of Geogrpahy, Queen Mary University of London. Use of 3d visualisation and Geomatics techniques to support interpretation of GPR data.
This document lists the names of counties and cities in Virginia. It also provides contact information for four regional dam safety engineers and the division director for Dam Safety and Floodplain Management in Virginia. The regional dam safety engineers are responsible for dam safety in different regions of Virginia, identified on a map, and provide their names, titles, contact information and the regions they oversee.
El sistema nervioso está formado por tejido nervioso como las neuronas y tiene la función de captar señales del medio ambiente y coordinar rápidamente las respuestas de los órganos. Se divide en sistema nervioso central (el encéfalo y médula espinal protegidos por huesos), que procesa la información, y sistema nervioso periférico (nervios que conectan el central a los órganos), que coordina los órganos.
The document discusses key topics relating to ecosystems and biodiversity. It notes that the richest biodiversity is found near the equator, especially in areas like Indonesia and equatorial South America, as well as coral reefs. Ecological succession is influenced by environmental changes and disruption can affect rural and urban communities. Biodiversity at genetic, species, and ecosystem levels is important for ecological health but facing threats from human activity like habitat destruction. The Philippines has high biodiversity but also high rates of loss. Conservation efforts aim to stem further biodiversity loss.
Este documento presenta un plan de clase de bacteriología que consta de 9 bloques de actividades. El plan busca evaluar los conocimientos previos de los estudiantes sobre bacterias a través de preguntas, para luego organizarlos en equipos para investigar sobre bacterias utilizando diversas fuentes. Los estudiantes realizarán tinciones bacterianas, mapas conceptuales y otras investigaciones para aprender sobre la clasificación, morfología y características de tinción de bacterias. Al finalizar, crearán un glosario con los términos técnicos
Asiacell was facing interference issues in both its low and high frequency cellular bands from two other local carriers in Northern Iraq. CommScope designed a custom solution using existing filters modified for Asiacell's specifications and a new custom filter. This solution provided excellent rejection of out-of-band emissions to protect Asiacell's spectrum while minimizing interference to the other carriers. CommScope worked closely with Asiacell during implementation, and Asiacell completed the first phase of rollout in 2014 with work continuing through 2015.
This document outlines the A Level Mathematics curriculum, which includes core maths studied from grades 10 to 12 covering topics like P1, P3, M1 and S1, as well as an A Level syllabus comprising 24 modularised modules that can be studied combined over the May/June periods of grade 11 and 12 years.
Este documento clasifica los animales en tres categorías: terrestres, aéreos y acuáticos. Los animales terrestres viven principalmente en la tierra, los aéreos como las aves e insectos tienen la capacidad de volar, y los acuáticos como peces y moluscos viven en el agua durante toda o la mayor parte de su vida.
This is part of the PowerPoint that covers section 1.1 in the Cambridge Pre-U Biology course. The full PowerPoint covers the following topics: Microscopy, cell membrane structure, transport across membranes, cell organelles.
The document describes the three main layers that make up the Earth: the atmosphere, hydrosphere, and geosphere. The atmosphere contains air, oxygen, and nitrogen. The hydrosphere is composed of oceans, rivers, lakes, seas, water, and snow. The innermost geosphere layer contains continents, land, and rocks, and is divided into the crust, mantle, and core.
The document classifies animals into two main groups: vertebrates and invertebrates. Vertebrates have skeletons and include mammals, birds, fish, reptiles and amphibians, while invertebrates lack skeletons and include molluscs, arthropods, jellyfish, worms and echinoderms. Examples are given of common animals that fall within these different groups.
Rao Chenna is applying for the position of Maintenance Planner/Planning Engineer. He has over 30 years of experience in maintenance planning and engineering roles in the oil/gas industry. He holds a B.Tech in Mechanical Engineering and has worked on offshore platforms and FPSOs in Ghana, Equatorial Guinea, Syria, and other countries. His responsibilities have included developing maintenance schedules in software like MS Project and SAP, coordinating maintenance activities, and implementing computerized maintenance management systems.
Este es un trabajo de tecnologia e informatica se trata sobre el universo.
Presentado por:
Laura Juliana Quintero Arredondo
Anlly Paola Garcia Quintero
Natalia Lopez Trujillo
Del grado 9°F
C2VSim Workshop 3 - C2VSim Land Surface RepresentationCharlie Brush
The California Central Valley Groundwater-Surface Water Simulation Model (C2VSim) simulates the monthly response of the Central Valley’s groundwater and surface water flow system to historical stresses, and can also be used to simulate the response to projected future stresses. C2VSim contains monthly historical stream inflows, surface water diversions, precipitation, land use and crop acreages from October 1921 through September 2009. The model dynamically calculates crop water demands, allocates contributions from precipitation, soil moisture and surface water diversions, and calculates the groundwater pumpage required to meet the remaining demand.
POLARIMETRIC IMPLICATIONS OF INCIDENCE ANGLE VARIABILITY FOR UAVSARgrssieee
This document discusses how the incidence angle of radar data from NASA's UAVSAR instrument, which can vary significantly, may impact polarimetric classifications. It presents a statistical analysis of scattering mechanisms for different land cover classes in Yellowstone National Park as the incidence angle changes. The analysis finds that the dominant scattering mechanism, such as surface, double bounce, or volume scattering, varies strongly with incidence angle for all classes. Surface scattering generally decreases with higher incidence angles, while double bounce and volume scattering increases. This effect is most pronounced over smooth surfaces like barren ground and emergent wetlands. The variability in incidence angle from airborne platforms like UAVSAR could therefore pose challenges for polarimetric classification and radiometric terrain
Water makes up 75-85% of a plant's composition and provides several important functions. Proper water management considers soil properties, plant factors, irrigation systems, and environmental conditions to meet turfgrass water needs. Overwatering can harm turfgrass health while proper irrigation replenishes soil water to support the plant without exceeding its needs. Determining irrigation amounts involves monitoring soil moisture, weather, and the specific turfgrass species and site characteristics.
The document evaluates SMAP soil moisture algorithms using SMOS data. SMOS data was reprocessed to simulate SMAP observations at 40 degrees incidence angle. The Single Channel Algorithm was implemented using this SMOS/SMAP data set with different ancillary datasets. Initial results show the SCA using MODIS data performs well compared to in situ observations. Using vegetation polarization also performs satisfactorily, though vegetation parameters may need to be specific to land cover types to reduce bias in different areas. Overall results indicate SMAP algorithms can meet the target 0.04 m3/m3 accuracy requirement with further analysis and research. This evaluation will help select and develop the SMAP passive level 2 soil moisture algorithm.
This document contains answers to remote sensing questions. It discusses how different factors like crop type, growth stage, soil conditions and weather impact spectral signatures. It also addresses how field checks are used to identify crop types and validate remote sensing data. Additional questions cover topics like spatial resolution advantages of different satellites, using imagery to monitor drought conditions and vegetation patterns across continents.
This document summarizes a GIS and remote sensing portfolio that includes various maps, analyses, and case studies demonstrating techniques including:
- A spatial correlation analysis of autism and environmental factors
- A cartogram mapping banana exports from South America to the USA
- Viewshed analysis of radio coverage in Dona Ana County, NM
- Comparison of GDP and quality of life indicators for countries
- Analysis of organic crops versus pesticide usage in California
- Assessment of invasive salt cedar species along the Rio Grande from 1936-2009 using image processing techniques
- Land cover classification of an area in Arizona comparing different algorithms
- Accuracy assessment of land cover classifications using error matrices and bar graphs
- Change detection visualization
A geomatics approach to the interpretation of Ground Penetrating Radar (GPR)Stuart Glenday
Presentation to Dept. of Geogrpahy, Queen Mary University of London. Use of 3d visualisation and Geomatics techniques to support interpretation of GPR data.
This document lists the names of counties and cities in Virginia. It also provides contact information for four regional dam safety engineers and the division director for Dam Safety and Floodplain Management in Virginia. The regional dam safety engineers are responsible for dam safety in different regions of Virginia, identified on a map, and provide their names, titles, contact information and the regions they oversee.
El sistema nervioso está formado por tejido nervioso como las neuronas y tiene la función de captar señales del medio ambiente y coordinar rápidamente las respuestas de los órganos. Se divide en sistema nervioso central (el encéfalo y médula espinal protegidos por huesos), que procesa la información, y sistema nervioso periférico (nervios que conectan el central a los órganos), que coordina los órganos.
The document discusses key topics relating to ecosystems and biodiversity. It notes that the richest biodiversity is found near the equator, especially in areas like Indonesia and equatorial South America, as well as coral reefs. Ecological succession is influenced by environmental changes and disruption can affect rural and urban communities. Biodiversity at genetic, species, and ecosystem levels is important for ecological health but facing threats from human activity like habitat destruction. The Philippines has high biodiversity but also high rates of loss. Conservation efforts aim to stem further biodiversity loss.
Este documento presenta un plan de clase de bacteriología que consta de 9 bloques de actividades. El plan busca evaluar los conocimientos previos de los estudiantes sobre bacterias a través de preguntas, para luego organizarlos en equipos para investigar sobre bacterias utilizando diversas fuentes. Los estudiantes realizarán tinciones bacterianas, mapas conceptuales y otras investigaciones para aprender sobre la clasificación, morfología y características de tinción de bacterias. Al finalizar, crearán un glosario con los términos técnicos
Asiacell was facing interference issues in both its low and high frequency cellular bands from two other local carriers in Northern Iraq. CommScope designed a custom solution using existing filters modified for Asiacell's specifications and a new custom filter. This solution provided excellent rejection of out-of-band emissions to protect Asiacell's spectrum while minimizing interference to the other carriers. CommScope worked closely with Asiacell during implementation, and Asiacell completed the first phase of rollout in 2014 with work continuing through 2015.
This document outlines the A Level Mathematics curriculum, which includes core maths studied from grades 10 to 12 covering topics like P1, P3, M1 and S1, as well as an A Level syllabus comprising 24 modularised modules that can be studied combined over the May/June periods of grade 11 and 12 years.
Este documento clasifica los animales en tres categorías: terrestres, aéreos y acuáticos. Los animales terrestres viven principalmente en la tierra, los aéreos como las aves e insectos tienen la capacidad de volar, y los acuáticos como peces y moluscos viven en el agua durante toda o la mayor parte de su vida.
This is part of the PowerPoint that covers section 1.1 in the Cambridge Pre-U Biology course. The full PowerPoint covers the following topics: Microscopy, cell membrane structure, transport across membranes, cell organelles.
The document describes the three main layers that make up the Earth: the atmosphere, hydrosphere, and geosphere. The atmosphere contains air, oxygen, and nitrogen. The hydrosphere is composed of oceans, rivers, lakes, seas, water, and snow. The innermost geosphere layer contains continents, land, and rocks, and is divided into the crust, mantle, and core.
The document classifies animals into two main groups: vertebrates and invertebrates. Vertebrates have skeletons and include mammals, birds, fish, reptiles and amphibians, while invertebrates lack skeletons and include molluscs, arthropods, jellyfish, worms and echinoderms. Examples are given of common animals that fall within these different groups.
Rao Chenna is applying for the position of Maintenance Planner/Planning Engineer. He has over 30 years of experience in maintenance planning and engineering roles in the oil/gas industry. He holds a B.Tech in Mechanical Engineering and has worked on offshore platforms and FPSOs in Ghana, Equatorial Guinea, Syria, and other countries. His responsibilities have included developing maintenance schedules in software like MS Project and SAP, coordinating maintenance activities, and implementing computerized maintenance management systems.
Este es un trabajo de tecnologia e informatica se trata sobre el universo.
Presentado por:
Laura Juliana Quintero Arredondo
Anlly Paola Garcia Quintero
Natalia Lopez Trujillo
Del grado 9°F
Teresa Stephens, GIS Specialist, Paul Bechtel & Associates, Inc. and Andrew Weinberg, Geoscientist, Texas Water Development Board
Presented at the 2011 Texas GIS Forum
Mining Impacts and Wetlands_Crandon_Experiencejlarndt_51
The document outlines the process used to determine potential indirect impacts to wetland plant communities from changes in groundwater levels caused by a proposed mine, which included classifying wetlands based on plant communities and hydrologic conditions, assessing sensitivity to water level changes, and summarizing the results into hydrologic impact sensitivity classes.
FR4.L10.2: A MICROWAVE SCATTERING MODEL OF VEGETATED SURFACES BASED ON BOR/DD...grssieee
This document describes a microwave scattering model for vegetated surfaces being developed for NASA's Soil Moisture Active Passive (SMAP) mission. The model uses numerical solutions of Maxwell's equations to simulate scattering from both rough soil surfaces and vegetation volumes. It represents surfaces and vegetation as 3D "data cubes" that allow fast interpolation. Comparison to experimental data from a grassland site shows good agreement between modeled and measured backscatter values. The model will be used to retrieve soil moisture from SMAP radar measurements by inverting the physical scattering model.
Introduction
Water resources of India at a glance
Hydrogeological cycle
Exploration of groundwater
Groundwater potential zone
Indicators
Sensors
Rules for selection of imagery
Conclusion
Reference
The document discusses the Water Erosion Prediction Project (WEPP) model, which is a process-based erosion prediction tool that simulates soil erosion on hillslopes and in small watersheds. It describes WEPP's capabilities like continuous daily simulation of hydrology, erosion, and sediment delivery processes. Recent updates to WEPP include additions like automated yield calibration, multiple residue management operations, and improved contour simulation. Current development focuses on code testing, interface enhancement, and expanded databases.
This document discusses the need to account for spatial heterogeneity in topography when modeling distributed groundwater recharge and evapotranspiration. A lumped model assumes homogeneity, while semi-distributed and fully distributed models can account for variability related to factors like topography. The authors argue that considering topographic effects is important when assessing impacts to ecological systems through integrated surface water and groundwater models like GSFLOW, which can predict flows and recharge/discharge at various scales from climate to subsurface processes. Accounting for spatial variability provides greater insight into processes like wetland hydrology and groundwater-surface water interactions.
This document provides an overview of Phillip Owens' career and research interests in digital soil mapping. It outlines his educational background in soil science and highlights some of his past roles, including working as a Congressional Science Fellow and USDA-ARS Research Scientist. It also summarizes some of his current interests and involvement in projects related to digital soil mapping, the development of soil classification systems, and using geospatial tools and data to better understand soil-landscape relationships.
The document summarizes the empirical USLE and RUSLE models for predicting long-term soil loss on fields. The USLE model, developed in 1978, estimates soil erosion based on 5 factors: rainfall erosivity, soil erodibility, slope length and steepness, cover management, and conservation practices. The RUSLE revision in 1992 incorporated new research using computers and GIS to update factors and the calculation algorithm. Both models assist with soil conservation planning but have limitations as they only estimate rill and sheet erosion, not deposition or gully erosion.
Birr - Identifying Critical Portions of the LandscapeJose A. Hernandez
Terrain attributes derived from digital elevation models can be used to identify critical source areas for water quality protection. A study calculated terrain attributes like slope, curvature, and stream power index for two pilot watersheds in Minnesota. Field surveys showed higher values of attributes like specific catchment area and stream power index corresponded to locations of gullies and other erosion features. The results indicate terrain analysis can efficiently identify priority areas for conservation practices to reduce sediment and nutrient runoff.
This document examines the coupled effects of land use and climate change on watershed functions in Asia and Africa based on experiences from case studies. It discusses how factors like land cover, land management, rainfall, climate, topography, and drainage patterns influence watershed functions related to water transmission, buffering peak rainfall events, gradual water release, water quality, and reducing mass wasting. Case studies using the GenRiver and FlowPer hydrological models are presented examining scenarios of climate and land use change for various watersheds and their impacts on flow patterns, water balance, and buffering capacity. The studies show that climate and land use changes can interact and their effects may reinforce or weaken each other, so both factors need to considered
Features:
View watershed boundary and drainage network, and contour map layers
Find area of a selected watershed
View ground profile along and across the stream path
View existing water conservation structures along with photo
Manage watershed structures
Add Water Conservation Structure
Change Status of Structure (Proposed, Under Progress, Completed)
Technology
Google Maps API
Google Elevation API
Google Fusion Tables (for polyline and polygon data)
ASP.NET, SQL Server 2008 (for point data)
This document summarizes the development of a web-based tool called the Fertilizer Forecaster that will provide daily recommendations on when and where to apply fertilizers and manures to minimize the risk of surface water contamination from runoff. The tool uses forecasts of soil moisture and runoff risk from three hydrological models. The researchers are evaluating methods to accurately represent variable source areas of runoff at the sub-field scale to provide localized runoff risk assessments. They will integrate soil moisture, runoff risk thresholds into the Fertilizer Forecaster and test it in real-time and with past weather data.
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and ...Beniamino Murgante
Scale-dependency and Sensitivity of Hydrological Estimations to Land Use and Topography for a Coastal Watershed in Mississippi - Vladimir J. Alarcon and Charles G. O’Hara
This document discusses the applications of geospatial systems and their importance in supporting green economic development. Geospatial technologies can be used to monitor biodiversity, assess natural resource use, and measure ecological footprints across various spatial and temporal scales. The convergence of remote sensing, GIS, modeling, and other geospatial tools allows issues to be analyzed and addressed in an integrated manner from local to global levels. Geospatial systems can locate resources, identify land use patterns, monitor environmental conditions over time, and assess impacts to support sustainable resource management and linkages between development and conservation.
Forests and agroforestry systems improve the amount of water in the soil, retards surface runoff and reduces soil erosion. They also help increase and regulate base water flow.
This document summarizes rice drought phenotyping methods. It outlines objectives like screening breeding lines and association panels. Uniform drought stress is ensured using level fields separated from flooded areas. Stress is characterized using soil moisture sensors. High throughput phenotyping focuses on traits like yield, biomass and canopy temperature, followed by more detailed root and physiological measurements. The goal is to dissect mechanisms in major drought QTL lines using advanced NILs, with some positive QTL lines showing smaller root and xylem vessels correlated with less cavitation under stress.
This document summarizes rice drought phenotyping methods used at IRRI. Uniform drought stress treatment is ensured using level fields separated from flooded fields. Stress is characterized using soil moisture sensors. Large-scale phenotyping of breeding lines focuses on yield and related traits. High throughput methods like NDVI and canopy temperature are followed by more detailed physiological measurements. Analysis of drought QTL lines found smaller root and xylem vessels in positive QTL lines, reducing cavitation under stress.
This document discusses extending the Rangeland Hydrology and Erosion Model (RHEM) from hillslopes to watershed and large areas using the KINEROS2 and AGWA hydrology models. It provides an overview of KINEROS2 and AGWA capabilities for modeling hydrology, erosion, and sediment transport at various scales. It also discusses challenges in obtaining RHEM parameters over large areas and potential approaches using data from the National Resources Inventory, ecological site descriptions, remote sensing, and regression relationships. The document concludes with next steps around improving parameterization and integrating state and transition models and remote sensing data.
LiDAR technology was used to survey over 90,000 acres of the Lower Klamath and Tule Lake National Wildlife Refuges to support water resource management. The high-accuracy LiDAR data provided detailed digital elevation models, contours, and orthophotos that documented current infrastructure and habitat conditions. This data allows water management alternatives to be thoroughly analyzed by facilitating calculations of areas, volumes, water storage capacities, and potential water reuse capabilities. The comprehensive survey results provide wildlife managers with long-term tools to identify and implement improvements that optimize the efficient use and storage of available water resources.
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT Sumant Diwakar
This document discusses remote sensing and GIS applications for watershed management. It describes how remote sensing can be used to characterize watersheds by mapping attributes like size, shape, drainage patterns, geology, soil, land use, and groundwater potential. Remote sensing data can be integrated with socioeconomic data and used to delineate watershed boundaries, prioritize watersheds for development, and generate action plans. The document also outlines steps for watershed demarcation, characterization using tools like GEOMORIS, and prioritization using methods such as the sediment yield index.
Similar to Soil Conservation-GIS-Fennimore Fork (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
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10. Configuring Camel K Integrations for Data Pipelines
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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6. Ideas and approaches to help build your organization's AI strategy.
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Soil Conservation-GIS-Fennimore Fork
1. Soil Conservation on the Lower Wisconsin
Riverway:
GIS Modeling to Determine Prospective CRP
Candidates Based on Soil Erosion Susceptibility
in the Fennimore Fork Watershed
2. The Fennimore Fork
Watershed exhibits
characteristics that make
it prone to soil erosion
Highly variable
topography
Farming throughout
region
Soil loss as threat to
soil quality (Govers et
al., 2004)
http://www.nrcs.usda.gov/news/images/erosion.jpg
3. Study Area:
Fennimore Fork
Watershed
• Fennimore Fork Watershed is a
subwatershed within one of
eighteen watersheds draining into
the Lower Wisconsin Riverway
4. • Agriculture is the economic
mainstay of the region
• The Conservation Reserve
Program (CRP) is a
nationwide, voluntary
program that works in part
to enhance the environment
by reducing sedimentation
in streams and lakes
5. • Use GIS modeling
(WetSpa) to find land
most susceptible to
erosion in the Fennimore
Fork Watershed of Grant
County
• Provide results to CRP to
determine which land
should be targeted for
enrollment in the
program.
http://www.vub.ac.be/WetSpa/
6. Process-based
GIS based hydrologic model
Watershed/catchment scale
Simulate hydrograph (flood), water
balance
Hydrological attributes over watershed
7. WetSpa can provide:
• Spatial distribution of runoff velocity
• Spatial distribution of runoff volume
Define areas with high runoff velocity and
volume as highly susceptible to soil
erosion
• Velocity is calculated over entire time period
• Volume is calculated for specific storm events
8. LAND 30 Meter
Layers SOIL DEM
USE Resolution
PARAMETERS DERIVED FROM
+ CLIMATE INPUTS
EACH LAYER ABOVE
WETSPA
9. PERMATERS DERIVED FROM
EACH LAYER
Soil Land Use Topography
Flow Direction
Conductivity Root Depth Stream Link
Fill Sink
Residual Moisture Manning’s Coefficient Mask
Flow Length
Porosity Vegetated Fraction Stream Order
Stream Network
Pore distribution Interception Capacity Slope of land/river
Subwatershed
Index Leaf Area Index Stream width
Hydraulic Radius
Wilting point
Field Capacity
11. LAND
SOIL USE DEM
PARAMETERS DERIVED
FROM EACH LAYER CLIMATE INPUTS
ABOVE
WETSPA
Precipitation,
Temperature, Potential
Evapotranspiration
Vary Temporally, Not Spatially
13. Quartile classification:
• Four classes with even
distribution
Bottom left corner
chunk is the town of
Fennimore
(impervious area)
High
Dark red considered
Low
highest
15. Farmland with High Runoff
High Velocity Volume in 11
Storm Events
Intersect
Farmland
susceptible to
erosion
16.
17.
18.
19. The red areas show
up as high velocity
and volume in all
eleven storm events
Therefore, these
areas, while taking
into account land
ownership parcels,
should be considered
for enrollment in CRP
20. POTENTIAL ERROR FUTURE RESEARCH
Bad news: Climate data not within Run comparison of our
study site results to soil classes most
Good news: Within 5 miles susceptible to erosion to find
No model is perfect even more conclusive
6-8 year difference in data from
today
results
30 meter raster pixel size – not Assign addresses to land
very precise with most susceptible areas
TROUBLE ENCOUNTERED
Our first time using this
model so roadblocks required
help from more experienced
users – even a fix from the
creator of the model
21. A special thank you to Ping Wang for all of her help,
A-Xing Zhu for the guidance and
WetSpa Model Author: Yongbo Liu
22. Classification based results
Calibration gives more accurate numeric
results, not the objective of this study
Editor's Notes
Introduce ourselves
CHELSEA
CHELSEA-More specifically, our study area is along the Blue River, a tributary of Fennimore Creek which drains directly into the lower Wisconsin Riverway.-The resulting GIS model of areas prone to erosion will be used in conjunction with: land ownership maps- to determine specific parcels of interest-The Conservation Researve Program, from here on out refered to as the CRP, is a nationwide, voluntary program that works to enhance the environment by aiming to reduce sedimentation in streams and lakes, improve water quality, and protect wildlife habitat.
CHELSEA
CHELSEA-We used the WETSPA Model-WETSPA is a process based model-We determined the best way to model areas most prone to soil erosion, using the available data, was to use a hydrologic model as opposed to a sediment loss model-Primary reason for this is that discharge data was not available for our study area-WETSPA actually predicts runoff. This, coupled with discharge data allowed us to calculate soil erosion susceptibility-WETSPA extension allowed us to spatially reference data
JOHN-Two types of models: 1) empirically based models -earlier models -based only on direct observation 2)process based models (or physically based models) -simulate actual processes -can make predictions -conceptual models are a hybrid of these two