TY - JOUR
T1 - Assessment of vegetation response to drought in nebraska using Terra-MODIS land surface temperature and normalized difference vegetation index
AU - Swain, Sharmistha
AU - Wardlow, Brian
AU - Narumalani, Sunil
AU - Tadesse, Tsegaye
AU - Callahan, Karin
N1 - Funding Information:
Support for this research was provided by the U.S. Department of Agriculture’s Federal Crop Insurance Corporation (FCIC) through the Risk Management Agency (RMA) under USDA partnership (02-IE-0831-0208) with the National Drought Mitigation Center, University of Nebraska-Lincoln, and the U.S. Geological Survey (USGS). The authors thank Deborah Wood of the National Drought Mitigation Center for editorial support. Image analyses were performed using ERDAS Imagine version 9.3 (ERDAS Inc.). ArcGIS version 9.3.1 (Environmental Systems Research Institute, Inc., Redlands, CA) was used for all GIS operations. All statistical analyses were performed using either Microsoft Office Excel version 2010 or PASW statistics 18 (2010 SPSS Inc.).
PY - 2011/7/1
Y1 - 2011/7/1
N2 - Eight-day composite Terra-MODIS cumulative LST and NDVI timeseries data were used to analyze the responses of crop and grassland cover types to drought in Nebraska. Four hundred ninety 1 km pixels that included irrigated and non-irrigated corn and soybeans and three grassland cover types were selected across the state of Nebraska. Statistical analyses revealed that the majority of the land cover pixels experienced significantly higher daytime and nighttime LSTs and lower NDVI during the drought-year growing season (p < 0.01). Among the land cover types analyzed, grassland experienced the highest increase in daytime LST and decrease in NDVI.
AB - Eight-day composite Terra-MODIS cumulative LST and NDVI timeseries data were used to analyze the responses of crop and grassland cover types to drought in Nebraska. Four hundred ninety 1 km pixels that included irrigated and non-irrigated corn and soybeans and three grassland cover types were selected across the state of Nebraska. Statistical analyses revealed that the majority of the land cover pixels experienced significantly higher daytime and nighttime LSTs and lower NDVI during the drought-year growing season (p < 0.01). Among the land cover types analyzed, grassland experienced the highest increase in daytime LST and decrease in NDVI.
UR - http://www.scopus.com/inward/record.url?scp=80052682768&partnerID=8YFLogxK
U2 - 10.2747/1548-1603.48.3.432
DO - 10.2747/1548-1603.48.3.432
M3 - Review article
AN - SCOPUS:80052682768
SN - 1548-1603
VL - 48
SP - 432
EP - 455
JO - GIScience and Remote Sensing
JF - GIScience and Remote Sensing
IS - 3
ER -