Since the remote sensing data of MODIS has some advantages of short detection period, wide coverage and open access, it is suitable for large-scale, dynamic agricultural remote sensing monitoring. According to the application requirements of winter wheat acreage extracting in Huang-Huai region, this article analyzes the features of MODIS data and phenological characteristics of crops. Three kin...

Recent studies showed that remote sensing (RS) is an effective, efficient and reliable technique used in almost all the areas of earth sciences. Remote sensing as being a technique started with aerial photographs and then developed employing the multi-spectral satellite images. Nowadays, it benefits from hyper-spectral, RADAR and LIDAR data as well. This potential has widen its applicability in...

Remote sensing indices of burn area and fire severity have been developed and tested for forest ecosystems, but not sparsely vegetated, desert shrub-steppe in which large wildfires are a common occurrence and a major issue for land management. We compared the performance of remote sensing indices for detecting burn area and fire severity with extensive ground-based cover assessments made before...

Landscape structure was investigated on six test sites in Switzerland, selected along a land-use intensity gradient. The test areas were captured with remote sensing images on three spatial resolutions: 1) fused Landsat ETM-IRS and 2) Quickbird satellite images as well as 3) CIR aerial photos. Segmentation and fuzzy classification were implemented on the images to extract landscape patch indice...

abstract evapotranspiration (et) determination is a key factor for irrigation scheduling, water balance, irrigation system design and management and crop yields simulation. therefore many scientists have tried to estimate evapotranspiration in different spatial and temporal scales. remote sensing is a one of new technique in estimation of et in regional scales. so, in this study it’s tried to e...

Grouping images into semantically meaningful categories using low-level visual feature is a challenging and important problem in content-based image retrieval. The groupings can be used to build effective indices for an image database. Digital image analysis techniques are being used widely in remote sensing assuming that each terrain surface category is characterized with spectral signature ob...

Remote sensing data from multi-source optical and SAR (Synthetic Aperture Radar) sensors have been widely utilized to detect forest dynamics under a variety of conditions. Due to different temporal coverage, spatial resolution, and spectral characteristics, these sensors usually perform differently from one another. To conduct statistical modeling accuracies evaluation and comparison among seve...

One factor of precision agriculture is remote sensing, through which we can monitor vegetation health and condition. Much research has been conducted in the field sensing analyzing applications, while reviews gather on this examine different scientific methodologies. This work aims to existing indices used viticulture, were calculated from imagery acquired by platforms such as satellites, airpl...