Estimation of anthropogenic heat emissions in China using Cubist with points-of-interest and multisource remote sensing data.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.115183
Abstract: Rapid urbanization and industrialization in China stimulated the great increase of energy consumption, which leads to drastic rise in the emission of anthropogenic waste heat. Anthropogenic heat emission (AHE) is a crucial component of urban… read more here.
Keywords: sensing data; multisource remote; anthropogenic heat; remote sensing ... See more keywords
Glacier Retreating Analysis on the Southeastern Tibetan Plateau via Multisource Remote Sensing Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3243771
Abstract: Accurate multitemporal glacier change investigations and analyses are lacking on the southeastern Tibetan Plateau (SETP). A combination of photogrammetry, optical remote sensing, and synthetic aperture radar datasets can accurately identify large-scale glaciers; In this article,… read more here.
Keywords: remote sensing; multisource remote; southeastern tibetan; sensing data ... See more keywords
Multisource Remote Sensing Classification for Coastal Wetland Using Feature Intersecting Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3161578
Abstract: Accurate remote sensing monitoring of wetland ground objects is of great significance for ecological protection. In this letter, a convolutional neural network based on feature intersecting learning (FIL-CNN) is designed for wetland classification using multisource… read more here.
Keywords: remote sensing; intersecting learning; wetland; multisource remote ... See more keywords
Research on Land Use Planning Based on Multisource Remote Sensing Data
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5851768
Abstract: Land use changes are analyzed correctly, a series of improvements according to the changes are carried out appropriately, the relationship between land use development and economic and human survival is handled correctly, and the healthy… read more here.
Keywords: sensing data; remote sensing; land; multisource remote ... See more keywords
Estimation of Forest Biomass in Beijing (China) Using Multisource Remote Sensing and Forest Inventory Data
Sign Up to like & getrecommendations! Published in 2020 at "Forests"
DOI: 10.3390/f11020163
Abstract: Forest biomass reflects the material cycle of forest ecosystems and is an important index to measure changes in forest structure and function. The accurate estimation of forest biomass is the research basis for measuring carbon… read more here.
Keywords: multisource remote; forest biomass; biomass; forest inventory ... See more keywords