MODIS-based mapping of cropping intensity, crop calendar, irrigation and paddy rice agriculture
Xiangming
Xiao, University of New Hampshire, xiangming.xiao@unh.edu
(Presenting)
Chandrashekhar
M
Biradar, University of New Hampshire, biradar.c.m@unh.edu
Christina
Czarnecki, University of New Hampshire, c.czarnecki@unh.edu
Gopala
Mulukutla, University of New Hampshire, gopalam@cisunix.unh.ed
Michael
Routhier, University of New Hampshire, mike.routhier@unh.edu
Justin
Fisk, University of New Hampshire, justin.fisk@unh.edu
Berrien
Moore, University of New Hampshire, berrien.moore@unh.edu
Our Earth is now a human dominated planet. In an effort to meet rising needs for food and fiber due to increased human population, agricultural intensification (e.g., double- and triple- cropping in a year, irrigation, fertilization) occurs extensively, mostly through infrastructure construction (e.g., dams, reservoirs, irrigation channels, and wells) that ensures water availability for crops through much of the year. Cropping intensity and irrigation have significant impacts on food security, water resources and climate. Monitoring and mapping of agriculture intensification is a challenging task because of large spatial variations and temporal dynamics of agriculture. Over the last few years, we have developed a set of novel approaches to map cropping intensity, crop calendar, irrigation and paddy rice agriculture at a continental scale, using MODIS data at 500-m spatial resolution and 8-day temporal resolution. In this poster we briefly report the status of our MODIS-based maps of cropping intensity, and paddy rice agriculture, which are generated from the temporal profile analysis of three vegetation indices: Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI). The resultant maps have been used in several applications, including risk assessment of highly pathogenic avian influenza H5N1 in Southeast Asia.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: