Normalized difference vegetation index (NDVI) derived from satellites has been ubiquitously
utilized in the field of remote sensing. Nevertheless, there are multitudinous contaminations …

Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Abstract The applications of Normalized Difference Vegetation Index (NDVI) time-series data
are inevitably hampered by cloud-induced gaps and noise. Although numerous …

Obtaining high quality remote sensing vegetation index that is not noticeably affected by
abiotic factors is critical for agricultural, ecological, climate and hydrological studies. Here …

Abstract Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological
quality assessment indicators. Due to the noise caused by adverse atmoshperic conditions …

Satellite vegetation index (VI) products, such as normalized difference vegetation index
(NDVI) and enhanced vegetation index (EVI), have been widely used. However, they are …

Currently, quantifying phenology at landscape to regional scales is not feasible with field
data or near-surface sensors. Consequently, the spatial and temporal complexity of …

Abstract Harmonic analysis of time series is an important technique to reveal seasonal land
surface dynamics using remote sensing information. However, frequency selection in the …

Evaluating regional ecological environmental quality (EEQ) using remote sensing is
important for achieving sustainable development. The remote sensing ecological index …

Detecting early deforestation is a fundamental process in reducing forest degradation and
carbon emissions. With this procedure, it is possible to monitor and control illegal activities …