The paper presents a hybrid fuzzy classifier for effective land use land cover mapping. It discusses a Bayesian way of incorporating spatial contextual information into the Fuzzy Noise Classifier (FNC). The FNC was chosen, as it detects noise using spectral information more efficiently than its fuzzy counterparts. The spatial information at the level of second order pixel neighbourhood was mode...

Crop acreage assessment is of particular importance in China where total crop land area is shrinking following the urbanization, directly threatening the policy of grain self-sufficiency. This study demonstrated the application potential of remote sensing to estimate large crop areas on the North China Plain (NCP). The cropping pattern in this plain comprises two growth seasons per year. The ha...

Sagebrush ecosystems in North America have experienced extensive degradation since European settlement. Further degradation continues from exotic invasive plants, altered fire frequency, intensive grazing practices, oil and gas development, and climate change – adding urgency to the need for ecosystem-wide understanding. Remote sensing is often identified as a key information source to facilita...

soil organic matter has positive consequences eht rof quality and productivityof soil and also environment, agricultural and biological sustainability and conservation ofbiodiversity and soil. organic matter plays an important role in the physical and chemicalprocesses of soil and thus, it is of a great effect on the spectral characteristics of soil. thisstudy was done in order to develop the m...

The present study investigates remote sensing based approach of large-area crop water requirement using vegetation indices as proxy indicator of crop coefficient (Kc). This study is an attempt to estimate the reasonably proper Kc for lowland rice and wheat and subsequently crop evapotranspiration (ETc) in rice-wheat system using multitemporal IRS P6-AWiFS data integrated with meteorological dat...