View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
ArcGIS Pro
View Footprint In:
ArcGIS Online Map Viewer
Service Description: These are a collection of datasets that are potentially relevant to the National Science Foundation EPSCoR funded Biofuels and Climate Change project. The purpose of this NSF Major Initiatives grant is to improve the research infrastructure for examining farmers’ decisions to grow crops as feedstocks for renewable energy production, such as corn as a feedstock for ethanol production. As the primary component of this infrastructure improvement, our research team is conducting a pilot project that examines decisions by Kansas farmers to grow biofuel crops over the period 2000 to 2012. Our analysis examines both first-generation biofuels, such as corn-based ethanol, which represent traditional food/feed crops, and second-generation biofuels, such as switchgrass, which represent designated fuel crops and use cellulosic sources. The overarching objective of this research is to secure external funding to examine all US states producing biofuel crops. In order to achieve this overarching objective, we have identified the following objectives: [1] establish a protocol for extracting useful information from a satellite remote sensing database on land use and land cover to examine all states producing biofuel crops; [2] develop a survey protocol for contacting farmers and a survey instrument for gathering information from these farmers; [3] develop a protocol for interviewing farmers; [4] integrate fully a variety of datasets providing information on key dimensions – land cover (derived from satellite remote-sensing data), land use (self-reported by farmers), various farm characteristics (recorded in the 2007 Agricultural Census), farmers’ social perceptions, groundwater availability, farmers’ annual water use, and surface water quality – in order to develop a rich, multi-layered database on land use decisions with human and environmental dimensions; [5] develop a unified set of cross-disciplinary empirical methods – both qualitative and quantitative – for identifying the driving factors behind farmers’ land use decisions.
These data are intended for data visualization purposes.
For more information contact Kevin Dobbs (kevindobbs@ku.edu) at the Kansas Biological Survey.
Map Name: Farmers Land Use Decisions - Land Cover Data
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: Biofuels and Climate Change:Farmers' Land Use Decisions, BACC:FLUD
BioFuels and Climate Change Project
Copyright Text: Dietrich Earnhart, PI, Chris Brown, co-PI, Steve Egbert / Kansas Biological Survey
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -1.1361791036076484E7
YMin: 4618625.783434937
XMax: -1.052620315615025E7
YMax: 4955529.47953294
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -1.1387765775483161E7
YMin: 4407730.858915392
XMax: -1.0511757775483161E7
YMax: 4890230.043206349
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Biofuels Climate Change - Landuse Cover Data
Author: Kansas Applied Remote Sensing Program, KARS, / Kansas Biological Survey
Comments: These are a collection of datasets that are potentially relevant to the National Science Foundation EPSCoR funded Biofuels and Climate Change project. The purpose of this NSF Major Initiatives grant is to improve the research infrastructure for examining farmers’ decisions to grow crops as feedstocks for renewable energy production, such as corn as a feedstock for ethanol production. As the primary component of this infrastructure improvement, our research team is conducting a pilot project that examines decisions by Kansas farmers to grow biofuel crops over the period 2000 to 2012. Our analysis examines both first-generation biofuels, such as corn-based ethanol, which represent traditional food/feed crops, and second-generation biofuels, such as switchgrass, which represent designated fuel crops and use cellulosic sources. The overarching objective of this research is to secure external funding to examine all US states producing biofuel crops. In order to achieve this overarching objective, we have identified the following objectives: [1] establish a protocol for extracting useful information from a satellite remote sensing database on land use and land cover to examine all states producing biofuel crops; [2] develop a survey protocol for contacting farmers and a survey instrument for gathering information from these farmers; [3] develop a protocol for interviewing farmers; [4] integrate fully a variety of datasets providing information on key dimensions – land cover (derived from satellite remote-sensing data), land use (self-reported by farmers), various farm characteristics (recorded in the 2007 Agricultural Census), farmers’ social perceptions, groundwater availability, farmers’ annual water use, and surface water quality – in order to develop a rich, multi-layered database on land use decisions with human and environmental dimensions; [5] develop a unified set of cross-disciplinary empirical methods – both qualitative and quantitative – for identifying the driving factors behind farmers’ land use decisions.
These data are intended for data visualization purposes.
For more information contact Kevin Dobbs (kevindobbs@ku.edu) at the Kansas Biological Survey.
Subject: Landuse and biofuels
Category: Biota, Boundaries, Earth Cover, Elevation, Environment, Farming, Geoscientific Information, Imagery Base Maps Earth Cover, Planning Cadastre
Keywords: agriculture,aquifer,biodiesel,biofuel,corn,CRP,ethanol,landcover,sorghum,soybeans,water resources
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates
Generate KML