Map** rubber plantations and natural forests in ** plantations in Myanmar by fusing Landsat-8, Sentinel-2 and Sentinel-1 data along with systematic error quantificationForests in Southeast Asia are experiencing some of the highest rates of deforestation and
degradation in the world, with natural forest species being replaced by cropland and …
degradation in the world, with natural forest species being replaced by cropland and …
Blending Landsat and MODIS data to generate multispectral indices: A comparison of “Index-then-Blend” and “Blend-then-Index” approaches
The objective of this paper was to evaluate the accuracy of two advanced blending
algorithms, Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and …
algorithms, Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and …
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
Y Hu, X Xu, F Wu, Z Sun, H ** tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images
B Chen, X Li, X ** of rubber plantations using Landsat OLI data
H Fan, X Fu, Z Zhang, Q Wu - Remote Sensing, 2015 - mdpi.com
Accurate and up-to-date map** and monitoring of rubber plantations is challenging. In this
study, we presented a simple method for rapidly and accurately map** rubber plantations …
study, we presented a simple method for rapidly and accurately map** rubber plantations …