Results 11 to 20 of about 196,280 (287)

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River [PDF]

, 2012
Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of ...
Hao, F., Ouyang, W., Skidmore, A.K., Toxopeus, A.G., Zhang, X.   +4 more
core   +9 more sources

Expansion of the Sahara Desert and shrinking of frozen land of the Arctic. [PDF]

, 2020
Expansion of the Sahara Desert (SD) and greening of the Arctic tundra-glacier region (ArcTG) have been hot subjects under extensive investigations. However, quantitative and comprehensive assessments of the landform changes in these regions are lacking ...
Liu, Ye, Xue, Yongkang
core   +1 more source

Effects of temporal, spatial, and elevational variation in bioclimatic indices on the NDVI of different vegetation types in Southwest China

Ecological Indicators, 2023
Under the background of global climate change, characterizing correlations between vegetation dynamics and bioclimatic indices (calculations based on temperature, precipitation, and reference evapotranspiration) are important for vegetation conservation ...
Hede Gong, Qingping Cheng, Hanyu Jin, Yitong Ren   +3 more
doaj   +1 more source

Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries

Scientific Reports, 2022
Accurately obtaining the spatial distribution information of fruit tree planting is of great significance to the development of fruit tree growth monitoring, disease and pest control, and yield estimation.
Xin-Xing Zhou, Yang-Yang Li, Yuan-Kai Luo, Ya-Wei Sun, Yi-Jun Su, Chang-Wei Tan, Ya-Ju Liu   +6 more
doaj   +1 more source

Land cover classification using multi-temporal MERIS vegetation indices [PDF]

, 2007
The spectral, spatial, and temporal resolutions of Envisat's Medium Resolution Imaging Spectrometer (MERIS) data are attractive for regional- to global-scale land cover mapping.
A. Mathur, Baret F., Benedetti R., Clark R. N., Clevers J. G. P. W., G. M. Foody, Gaston G. G., Gobron N., Halldorsson G. H., J. Dash, J. W. Chipman, Lillesand T. M., Mather P. M., P. J. Curran, Peterson D. L., Richardson A. L., Smith G. M., Smith P. M., T. M. Lillesand, Wilkinson G. G.   +19 more
core   +1 more source

Potential of Satellite Spectral Resolution Vegetation Indices for Estimation of Canopy Chlorophyll Content of Field Crops: Mitigating Effects of Leaf Angle Distribution

Remote Sensing, 2023
Accurate estimation of canopy chlorophyll content (CCC) is critically important for agricultural production management. However, vegetation indices derived from canopy reflectance are influenced by canopy structure, which limits their application across ...
Xiaochen Zou, Jun Jin, Matti Mõttus
doaj   +1 more source

Crop Type Classification Using Vegetation Indices of RapidEye Imagery [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate,
M. Ustuner, F. B. Sanli, S. Abdikan, M. T. Esetlili, Y. Kurucu   +4 more
doaj   +1 more source

Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

Semina: Ciências Agrárias, 2019
The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion.
Adnane Beniaich, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Michele Duarte de Menezes, Bernardo Moreira Cândido   +4 more
doaj   +1 more source

Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data

Applied Computing and Geosciences, 2020
Several remote sensing based indices have been developed for studying vegetation using varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar (GBN) district where the atmospheric condition is highly influenced by particulate
Shivangi S. Somvanshi, Maya Kumari
doaj   +1 more source

Estimating vegetation cover from high-resolution satellite data to assess grassland degradation in the Georgian Caucasus [PDF]

, 2016
In the Georgian Caucasus, unregulated grazing has damaged grassland vegetation cover and caused erosion. Methods for monitoring and control of affected territories are urgently needed.
Feilhauer, Hannes, Magiera, Anja, Otte, Annette, Waldhardt, Rainer, Wiesmair, Martin   +4 more
core   +2 more sources