Estimation of woody vegetation biomass in Australia based on multi-source remote sensing data and stacking models
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18891-1
Abstract: Vegetation serves as the most critical carbon reservoir within terrestrial ecosystems and plays a vital role in mitigating global climate change. Australia features a vast and diverse landscape, ranging from dense eucalyptus forests to sparse… read more here.
Keywords: vegetation; source remote; estimation; biomass ... See more keywords
Drones – the third generation source of remote sensing data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1523832
Abstract: The first generation of platforms for instruments generating remotely sensed data from the surface of the Earth comprised pilot-flown aircraft and the second generation consisted of Earth-orbiting ... read more here.
Keywords: generation source; source remote; remote sensing; generation ... See more keywords
Extraction of landslide information and analysis of driving factors using multi-source remote sensing data and Bayesian algorithms
Sign Up to like & getrecommendations! Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2573762
Abstract: ABSTRACT Landslides, as a typical type of geological hazard, are characterized by strong suddenness and high destructiveness, posing a serious threat to human life and property safety. In this study, multi-source remote sensing data were… read more here.
Keywords: analysis; source remote; remote sensing; sensing data ... See more keywords
Multi-Source Remote Sensing Intelligent Characterization Technique-Based Disaster Regions Detection in High-Altitude Mountain Forest Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3185420
Abstract: Natural disasters frequently have caused a huge impact on life and property losses, in Southwest China. To provide assistance for disaster relief, areas damaged in natural disasters are quickly located by utilizing satellite remote-sensing images-based… read more here.
Keywords: source remote; remote sensing; multi source; disaster ... See more keywords
Analysis of agricultural production efficiency improvement and economic sustainability based on multi-source remote sensing data
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Environmental Science"
DOI: 10.3389/fenvs.2025.1546643
Abstract: Improving agricultural efficiency while ensuring environmental and economic sustainability remains a global challenge.This study introduces the Integrated Agro-Economic Sustainability Framework (IAESF), a novel architecture that fuses multi-source remote sensing data—including satellite, UAV, and ground sensors—with… read more here.
Keywords: economic sustainability; source remote; remote sensing; sustainability ... See more keywords
Improving Total Carbon Storage Estimation Using Multi-Source Remote Sensing
Sign Up to like & getrecommendations! Published in 2025 at "Forests"
DOI: 10.3390/f16030453
Abstract: Accurate estimations of forest total carbon storage are essential for understanding ecosystem functioning and improving forest management. This study investigates how multi-source remote sensing data can be used to provide accurate estimations of diameter at… read more here.
Keywords: remote sensing; total carbon; multi source; source remote ... See more keywords
Extraction of Rubber Plantations on Hainan Island, China, Using Multi-Source Remote Sensing Images During 2021–2025
Sign Up to like & getrecommendations! Published in 2025 at "Forests"
DOI: 10.3390/f16121773
Abstract: Precise monitoring of rubber plantations is critical for effective management and ecological assessments, enabling optimal resource allocation, disease detection, and mitigation of environmental impacts. This study integrated multi-source remote sensing data—including Landsat 8, Sentinel-1/2, GaoFen-1… read more here.
Keywords: rubber; source remote; rubber plantations; hainan island ... See more keywords
Predicting Manganese Mineralization Using Multi-Source Remote Sensing and Machine Learning: A Case Study from the Malkansu Manganese Belt, Western Kunlun
Sign Up to like & getrecommendations! Published in 2025 at "Minerals"
DOI: 10.3390/min15020113
Abstract: This study employs multi-source remote sensing information and machine learning methods to comprehensively assess the geological background, structural features, alteration anomalies, and spectral characteristics of the Malkansu Manganese Ore Belt in Xinjiang. Manganese mineralization is… read more here.
Keywords: source remote; remote sensing; mineralization; machine learning ... See more keywords
Analyzing Trends of Dike-Ponds between 1978 and 2016 Using Multi-Source Remote Sensing Images in Shunde District of South China
Sign Up to like & getrecommendations! Published in 2018 at "Sustainability"
DOI: 10.3390/su10103504
Abstract: Dike-ponds have experienced significant changes in the Pearl River Delta region over the past several decades, especially since China’s economic reform, which has seriously affected the construction of ecological environments. In order to monitor the… read more here.
Keywords: source remote; sensing images; multi source; remote sensing ... See more keywords
Incorporating multi-source remote sensing in the detection of earthquake-damaged buildings based on logistic regression modelling
Sign Up to like & getrecommendations! Published in 2019 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2019-20
Abstract: Abstract. After an earthquake, efficiently and accurately acquiring information about damaged buildings can help reduce casualties. Earth observation data have been widely used to map affected areas after earthquakes. However, accurate post-earthquake assessment results are… read more here.
Keywords: multi source; earthquake; remote sensing; source remote ... See more keywords