Vegetation greening has been suggested to be a dominant trend over recent decades, but
severe pulses of tree mortality in forests after droughts and heatwaves have also been …

Land-cover change has been identified as an important cause or driving force of global
climate change and is a significant research topic. Over the past few decades, global land …

Abstract The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming
to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the …

We developed the Function of mask (Fmask) 4.0 algorithm for automated cloud and cloud
shadow detection in Landsats 4–8 and Sentinel-2 images. Three major innovative …

Clouds are a pervasive and unavoidable issue in satellite-borne optical imagery. Accurate,
well-documented, and automated cloud detection algorithms are necessary to effectively …

Accurately map** impervious surface dynamics has great scientific significance and
application value for urban sustainable development research, anthropogenic carbon …

Using evapotranspiration (ET) data for scheduling irrigations on vegetable farms is
challenging due to imprecise crop coefficients, time consuming computations, and the need …

A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …

A new method called Fmask (Function of mask) for cloud and cloud shadow detection in
Landsat imagery is provided. Landsat Top of Atmosphere (TOA) reflectance and Brightness …

Wetlands play a key role in maintaining ecological balance and climate regulation.
However, due to the complex and variable spectral characteristics of wetlands, there are no …