Abstract
Irrigation water could be managed properly by mapping area of various crops. Remote sensing data can provide useful Land Use Land Cover (LULC) for assessment of different crop area and change detection. The present study was carried out with core objective to map crop area within the Indus Basin’s transboundary. Four major crops (i.e. wheat, rice, cotton and sugarcane) were identified using Normalize Difference Vegetation Index (NDVI) time series that was picked up from MODIS sensors aboard Terra (EOS AM) and Aqua (EOS PM) satellites with 250m pixel resolution. Crop phonological information was used to train each pixel intelligently for interpretation of unanalyzed NDVI data into crops. Eight days of time series data was used for identification and mapping of various crops on the basis of their phenology for the years 2008, 2010 and 2013. Error matrix was prepared to reveal mapping accurateness and ground truthing was also done in particular canal commands within the Indus basin. Furthermore, the temporal variation in cropped area was determined and for accuracy check, secondary data was matched with prepared maps. LULC maps for year 2008, 2010 and 2013 were defined for Rabi and kharif seasons.
Highlights
Proper management of agricultural land and wise policy making require estimation of cropped area for food security (Abbas et al, 2006)
These both terms (LULC) are not identical, Land use describes the modifications of environment that individuals have made for their selves concerns while land cover defines physical state of surface
Land Use and Land Cover (LULC) map of Rabi 2007-08 was developed which exposed that wheat crop covered an area of 18 mha, Sugarcane covered 2 mha while fodder covered mha (Figure 2)
Summary
Proper management of agricultural land and wise policy making require estimation of cropped area for food security (Abbas et al, 2006). Mapping of Land Use and Land Cover (LULC) takes a significant place in different sectors (i.e. scientific studies, planning and management). A strong relationship among environment and the humans can be seen through regional land use patterns (Matsa and Muringaniza, 2011). These both terms (LULC) are not identical, Land use describes the modifications of environment that individuals have made for their selves concerns while land cover defines physical state of surface. Remote Sensing (RS) imagery that could be taken from aircrafts and satellites is an effective and unique way to map LULC.
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