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Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review
Green fractional vegetation cover (fc) is an important phenotypic factor in the fields of
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …
agriculture, forestry, and ecology. Spatially explicit monitoring of fc via relative vegetation …
[HTML][HTML] Detection of vegetation coverage changes in the Yellow River Basin from 2003 to 2020
Abstract The Yellow River occupies a pivotal strategic position in the development and
economic construction of China. Moreover, gras** the dynamics of change in long-term …
economic construction of China. Moreover, gras** the dynamics of change in long-term …
[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …
products of various essential environmental variables. While numerous products are …
[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
[HTML][HTML] Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic …
J Li, J Wang, J Zhang, C Liu, S He, L Liu - Ecological Indicators, 2022 - Elsevier
Although previous studies have shown that the construction of the China-Myanmar
Economic Corridor (CMEC) has caused critical deforestation, few studies have monitored …
Economic Corridor (CMEC) has caused critical deforestation, few studies have monitored …
Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure
Image processing technology has gained considerable attention in agricultural proximal
sensing applications, including plant disease detection, vegetation fraction estimation …
sensing applications, including plant disease detection, vegetation fraction estimation …
Effect of natural conditions and mining activities on vegetation variations in arid and semiarid mining regions
S Liu, W Li, W Qiao, Q Wang, Y Hu, Z Wang - Ecological Indicators, 2019 - Elsevier
Variation in vegetation can provide fundamental information about environment and
resources management, especially in mining areas with vulnerable ecosystems. Research …
resources management, especially in mining areas with vulnerable ecosystems. Research …
Map** spatially seamless fractional vegetation cover over China at a 30-m resolution and semimonthly intervals in 2010–2020 based on google earth engine
Fractional vegetation cover (FVC) is a critical biophysical parameter that characterizes the
status of terrestrial ecosystems. The spatial resolutions of most existing FVC products are …
status of terrestrial ecosystems. The spatial resolutions of most existing FVC products are …
Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images
The canopy bidirectional reflectance distribution function (BRDF) plays a pivotal role in
estimating the biophysical parameters of plants, whereas soil background anisotropy …
estimating the biophysical parameters of plants, whereas soil background anisotropy …
[HTML][HTML] Estimation and validation of 30 m fractional vegetation cover over China through integrated use of Landsat 8 and Gaofen 2 data
Fractional vegetation cover (FVC) is an important parameter that reflects the status of
vegetation and can be used to quantify vegetation dynamics in system models of Earth …
vegetation and can be used to quantify vegetation dynamics in system models of Earth …