Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau
Long-term and high-quality surface soil moisture (SSM) and root-zone soil moisture (RZSM)
data is crucial for understanding the land-atmosphere interactions of the Qinghai-Tibet …
data is crucial for understanding the land-atmosphere interactions of the Qinghai-Tibet …
Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau
Abstract The Soil Moisture Active Passive (SMAP) satellite can no longer directly deliver
high-resolution (9 km) soil moisture products with the failure of the onboard L-band radar …
high-resolution (9 km) soil moisture products with the failure of the onboard L-band radar …
Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products
Global-scale surface soil moisture (SSM) products retrieved from active and passive
microwave remote sensing provide an effective method for monitoring near-real-time SSM …
microwave remote sensing provide an effective method for monitoring near-real-time SSM …
Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm
Accurate estimation of soil moisture content is necessary for optimal management of water
and soil resources. Soil moisture is an important variable in the hydrologic cycle, which …
and soil resources. Soil moisture is an important variable in the hydrologic cycle, which …
Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis
Z Zhou, S Liu, Y Ding, Q Fu, Y Wang, H Cai… - Journal of Environmental …, 2022 - Elsevier
The increase in drought frequency in recent years is considered as an important factor
affecting vegetation diversity. Understanding the responses of vegetation dynamics to …
affecting vegetation diversity. Understanding the responses of vegetation dynamics to …
Global water cycle and remote sensing big data: Overview, challenge, and opportunities
The Earth's water cycle involves energy exchange and mass movement in the hydrosphere
and thus sustains the dynamic balance of global hydrologic cycle. All water cycle variables …
and thus sustains the dynamic balance of global hydrologic cycle. All water cycle variables …
Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands
S Wang, G Fu - Frontiers in Environmental Science, 2023 - frontiersin.org
Soil moisture (SM) is closely correlated with ecosystem structure and function. Examining
whether climate data (temperature, precipitation and radiation) and the normalized …
whether climate data (temperature, precipitation and radiation) and the normalized …
A comparison of BPNN, GMDH, and ARIMA for monthly rainfall forecasting based on wavelet packet decomposition
Accurate rainfall forecasting in watersheds is of indispensable importance for predicting
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
Evaluating root-zone soil moisture products from GLEAM, GLDAS, and ERA5 based on in situ observations and triple collocation method over the Tibetan Plateau
S Yang, J Zeng, W Fan, Y Cui - Journal of Hydrometeorology, 2022 - journals.ametsoc.org
Root-zone soil moisture (RZSM) is an important variable in land–atmosphere interactions,
notably affecting the global climate system. Contrary to satellite-based acquisition of surface …
notably affecting the global climate system. Contrary to satellite-based acquisition of surface …