Results 11 to 20 of about 1,093,882 (292)

Monitoring rangeland vegetation in the Sahel by Landsat MSS and NOAA AVHRR

, 1991
Quantities of herbaceous vegetation of Sahelian rangelands in Niger and Mali were compared to vegetation indices (VI) derived from Landsat MSS and NOAA AVHRR LAC images.
Hiederer, Roland
core   +7 more sources

UAV Hyperspectral Data Combined with Machine Learning for Winter Wheat Canopy SPAD Values Estimation

Remote Sensing, 2023
Chlorophyll is an important indicator for monitoring crop growth and is vital for agricultural management. Therefore, rapid and accurate estimation of chlorophyll content is important for decision support in precision agriculture to accurately monitor ...
Qi Wang, Xiaokai Chen, Huayi Meng, Huiling Miao, Shiyu Jiang, Qingrui Chang   +5 more
doaj   +1 more source

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Crop Journal, 2020
Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield. Biomass is also a key trait in increasing grain yield by crop breeding.
Xiuliang Jin, Zhenhai Li, Haikuan Feng, Zhibin Ren, Shaokun Li   +4 more
doaj   +1 more source

eupassarinho/GoogleEarthEngine-sentinel1-vegetation-indices: v-0.1

, 2022
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation ...
Erli Pinto dos Santos
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.
Mathur, A., Lillesand, T.M., Chipman, J., Curran, Paul, Foody, G.M., Curran, P.J., Foody, Giles M., Dash, J.   +7 more
core   +1 more source

Desertifcation of Iran in the early twenty‑first century: assessment using climate and vegetation indices [PDF]

, 2021
Remote sensing of specific climatic and biogeographical parameters is an effective means of evaluating the large-scale desertification status of drylands affected by negative human impacts. Here, we identify and analyze desertification trends in Iran for
John D. Jansen, Jansen, John D., Jansen, J. D., Hamid Gholami, Rodrigo Comino, Jesús, Eskandari, Dameneh H, Eskandari Dameneh, H., Comino, J. R., Hadi Eskandari Dameneh, Collins, A. L., Matt W. Telfer, Adrian L. Collins, Telfer, Matt W., Comino, Jesús Rodrigo, Collins, Adrian L., Telfer, M. W, Dameneh, Hadi Eskandari, Gholami, H., Jesús Rodrigo Comino, Gholami, Hamid   +19 more
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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

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 ...
Ouyang, W., Hao, F., Zhang, X., Skidmore, A.K., Zhang, X, Quyang, Y., Toxopeus, A.G.   +6 more
core   +1 more source