Results 11 to 20 of about 199,504 (303)

Effects of Pansharpening on Vegetation Indices [PDF]

ISPRS International Journal of Geo-Information, 2014
This study evaluated the effects of image pansharpening on Vegetation Indices (VIs), and found that pansharpening was able to downscale single-date and multi-temporal Landsat 8 VI data without introducing significant distortions in VI values.
Brian Johnson
doaj   +2 more sources

MONITORING THE VEGETATIVE STATE OF COFFEE USING VEGETATION INDICES

Engenharia Agrícola
Vegetation indices are a quick and practical alternative for monitoring crops due to the availability of satellite images on various platforms for free, allowing a quick analysis of the vegetative state of the crop and interventions in the field in case ...
Vitor Chedid, Jorge W. Cortez, Sálvio N. S. Arcoverde   +2 more
doaj   +3 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

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

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

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

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

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

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

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