Assessing and monitoring rangelands in arid regions are important and essential tasks in order to manage the desired regions. Nowadays, satellite images are used as an approximately economical and fast way to study the vegetation in a variety of scales. This research aims to estimate the coverage percent using the digital data given by ETM+ Landsat satellite. In late May and early Ju...

Net radiation is a key component of the energy balance, whose estimation accuracy has an impact on energy flux estimates from satellite data. In typical remote sensing evapotranspiration (ET) algorithms, the outgoing shortwave and longwave components of net radiation are obtained from remote sensing data, while the incoming shortwave ( S) and longwave ( L) components are typically estimated fro...

Expert assessments for crop and range productivity of very-large arid and semiarid areas worldwide are ever more in demand and these studies require greater sensitivity in delineating the different grades or levels of soil salinity. In conjunction with field study in arid southeastern Oregon, we assess the merit of adding decision-tree analysis (DTA) to a commonly used remote-sensing method. Ra...

Tillage information is crucial for environmental modeling as it directly affects evapotranspiration, infiltration, runoff, carbon sequestration, and soil losses due to wind and water erosion from agricultural fields. However, collecting this information can be time consuming and costly. Remote sensing approaches are promising for rapid collection of tillage information on individual fields over...

Oasis stability in the lower reaches of the Tarim River was assessed at the landscape scale (including changes in landscape pattern and land use in the oasis) and at the regional scale (including the cold-island effect and NDVI of the oasis) based on the methods of landscape ecology, GIS and Remote Sensing (RS). Thematic Mapping (TM) remote sensing images from 1990, 2000 and 2009 were employed ...

Grassland biomass is essential for maintaining grassland ecosystems. Moreover, biomass is an important characteristic of grassland. In this study, we combined field sampling with remote sensing data and calculated five vegetation indices (VIs). Using this combined information, we quantified a remote sensing estimation model and estimated biomass in a temperate grassland of northern China. We al...

Because of the extreme importance of remote sensing as a data input to GIS, it has. Remote sensing can be defined as any process whereby information is.Remote sensing is the process of acquiring datainformation about. Application G-The final element of the remote sensing process is achieved when we.Abstract : Remote sensing is a technique to observe the earth surface or the atmosphere from. Pro...

Continuous piecewise linear models constitute useful tools to extract the basic features about the patterns of growth in complex time series data. In this work, we present an iterative algorithm for continuous piecewise regression with automatic change-points estimation. The algorithm requires an initial guess about the number and positions of the change-points or hinges, which can be obtained ...