[HTML][HTML] Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

Remote Sensing for Agriculture in the Era of Industry 5.0–A survey

N Victor, PKR Maddikunta, DRK Mary… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …

[HTML][HTML] The daily soil water content monitoring of cropland in irrigation area using Sentinel-2/3 spatio-temporal fusion and machine learning

R Du, Y Xiang, J Chen, X Lu, F Zhang, Z Zhang… - International Journal of …, 2024 - Elsevier
Understanding soil moisture dynamics is crucial for crop growth. The digital mapping of field
soil moisture distribution provides valuable information for agricultural water management …

Hydrology on Solid Grounds? Integration Is Key to Closing Knowledge Gaps Concerning Landscape Subsurface Water Storage Dynamics

SE Oswald, L Angermann, HR Bogena… - Hydrological …, 2024 - Wiley Online Library
Individual approaches to observe water dynamics across our landscape, from the land
surface to groundwater, are many though they individually only provide glimpses into the …

[HTML][HTML] Inversion of large-scale citrus soil moisture using multi-temporal Sentinel-1 and Landsat-8 data

Z Wu, N Cui, W Zhang, D Gong, C Liu, Q Liu… - Agricultural Water …, 2024 - Elsevier
Soil moisture is a significant variable in agricultural study and precision irrigation decision-
making. It determines the soil water availability for plants, directly influencing plant growth …

A_OPTRAM-ET: An automatic optical trapezoid model for evapotranspiration estimation and its global-scale assessments

Z Yao, W Li, Y Cui - ISPRS Journal of Photogrammetry and Remote …, 2024 - Elsevier
Remotely sensed evapotranspiration (ET) at a high spatial resolution (30 m) has wide-
ranging applications in agriculture, hydrology and meteorology. The original optical …

[HTML][HTML] Retrieval of moisture content of common Sphagnum peat moss species from hyperspectral and multispectral data

S Karlqvist, I Burdun, SS Salko, J Juola… - Remote Sensing of …, 2024 - Elsevier
Peatlands store enormous amounts of carbon in a peat layer, the formation and preservation
of which can only occur under waterlogged conditions. Monitoring peatland moisture …

Estimating soil moisture content in citrus orchards using multi-temporal sentinel-1A data-based LSTM and PSO-LSTM models

Z Wu, N Cui, W Zhang, C Liu, X Jin, D Gong, L Xing… - Journal of …, 2024 - Elsevier
Soil moisture content is a vital variable in agricultural, hydrological, ecological and
climatological processes. However, susceptible to soil type, soil structure, topography …

[HTML][HTML] Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data

R Du, Y Xiang, F Zhang, J Chen, H Shi, H Liu… - Agricultural Water …, 2024 - Elsevier
Accurate, timely, and continuous soil moisture information is helpful for crop stress diagnosis
and irrigation management decision. OPtical TRApezoid Model (OPTRAM) based on optical …

An improved optical trapezoid model to identify wetlands and irrigation water ponds in the arid irrigation district using Google Earth Engine

X Chen, L Yang, X Qian, Y Liu… - GIScience & Remote …, 2024 - Taylor & Francis
In arid regions, wetlands support ecosystem with high biodiversity and productivity.
Meanwhile, irrigation during the fallow period often results in the temporary formation of …