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The development of UAV-based sensing systems for agronomic applications serves the improvement of crop management. The latter is in the focus of precision agriculture which intends to optimize yield, ...
HJ-1A/B NDVI (HJ NDVI) time-series data possess relatively high spatio-temporal resolution which is significant for the research on urban areas. However, its application is hindered by noise resulting...
TUBITAK UZAY has conducted a research study on the use of space-based satellite resources for several aspects of agriculture. Especially, there are two precision agriculture related projects: HASSAS (...
The El Niflo Southern Oscillation (ENSO) phenomenon produces an important inter-annual variability of oceanic and atmospheric conditions with irregular periods and amplitudes in many regions of the wo...
Vegetation coverage change is a very important indication of the ecological enviroment change. In this paper, we detected the vegetation cover change by retrieving the fraction of the vegetation cover...
Multiple cropping system, characterized by cropping index, is of significant importance to Chinese food production and security.Owing to the changing nature conditions and human activity, cropping ind...
The article, using the each ten day’s data of NOAA/AVHRR from 1981 to 2000 and adopting the Maximum-Slope Method and Curve-Fitting Method, analyzes the beginning and ending of the growth season of the...
One of the possibilities offered to us by the remote sensing, is to monitor all the vegetation. Therefore agricultural plants can be monitor as well. From the spectral point of view, the presence of v...
Spatial relationship between vegetation and rainfall in Central Kazakhstan has been modelled using Normalized Difference Vegetation Index (NDVI) and rainfall data from weather stations. The modelling ...
Vegetation change detection has become increasingly important in understanding vegetation dynamics and its role in terrestrial and atmospheric systems. In the case of Scotland, there is a need to rou...
Agricultural practices are continually changing at various spatial and temporal scales in response to local management decisions and environmental factors. However, few regional scale land use/land c...
Studies on vegetation geographical distribution patterns are often associated with the causal factors such as rainfall, soils or temperature patterns. Reasonably accurate and reliable maps of the clim...
The NDVI (normalized difference vegetation index) has shown to be a good predictor of green vegetation density for several vegetation types. The Brazilian xeromorphic vegetation, called Cerrado, compr...
Agricultural intensification is defined in terms as cropping intensity, which is the numbers of crops (single, double and triple) per year in a unit cropland area. Information about crop calendar (i.e...
Impact of climate change on Indian rainfed agriculture was assessed using temporal NDVI data products from AVHRR and MODIS. Agricultural vulnerability was analysed using CV of Max NDVI from NOAA-AVHRR...

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