Assessing groundwater artificial recharge suitability in the Mi River basin using GIS, RS, and FAHP: a comprehensive analysis with seasonal variations by Qianyu Song, Yuyu Liu, Zhongpeng Wang, Zhenghe Xu

“…This study utilized an integrated approach that combines Geographic information systems (GIS), remote sensing, and the fuzzy analytic hierarchy process to assess the suitability of artificial recharge in the Mi River watershed, creating 14 thematic layers. …”
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Satellite Retrieval of Surface Evapotranspiration with Nonparametric Approach: Accuracy Assessment over a Semiarid Region by Xin Pan, Yuanbo Liu, Xingwang Fan

“…It highlights the importance of accurate retrieval of the input parameters from satellite data, which are the ongoing tasks of remote sensing community.…”
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Quaternary Segmentation Characteristics of the Hunhe Fault, Northeast China by Bo Wan, Guanghao Ha, Xiaohui Zhao, Rui Suo

“…This study focuses on the Hunhe fault, part of the Liaoning segment of the Dunhua–Mishan fault zone, which exhibits concealed characteristics and an NE–NEE orientation. We employ remote sensing and field investigations to accurately delineate the Hunhe fault’s location, scale, and tectonic activity. …”
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Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods by Chenyu Tian, Yifei Lu, Hengduo Xie, Yufan Yu, Liming Lu

“…The content and proportion of nicotine and other composite substances of cigar leaves have a crucial impact on their quality and vary greatly with the time of harvest. Hyperspectral remote sensing technology has been widely used in the field of crop monitoring because of its advantages of large area coverage, fast information acquisition, short cycle turnover, strong real-time performance and high efficiency. …”
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Multi-Scale Mapping of Energy Consumption Carbon Emission Spatiotemporal Characteristics: A Case Study of the Yangtze River Delta Region by Kangjuan Lv, Qiming Wang, Xunpeng Shi, Li Huang, Yatian Liu

“…This study uses integrated remote-sensing data to estimate carbon emissions from fossil fuels (CEFs). …”
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Mapping of land degradation using spectral angle mapper approach (SAM): the case of Inaouene watershed (Northeast Morocco) by Benzougagh, Brahim, Meshram, Sarita Gajbhiye, Fellah, Bouchta El, Mastere, Mohamed, Basri, Mohamed El, Ouchen, Ibrahim, Sadkaoui, Driss, Bammou, Youssef, Moutaoikil, Nassima, Turyasingura, Benson

“…Geographic information systems and remote sensing are an excellent tool for analyzing and evaluating the risks of the expansion of soil degradation. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…On this basis, a high temperature disaster risk map of the urban development area of Wuhan is synthesized to identify the distribution characteristics of high temperature disaster risk in the research area. Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Assessing and Enhancing Green Quantity in the Open Spaces of High-Density Cities: A Comparative Study of the Macau Peninsula and Monaco by Jitai Li, Fan Lin, Yile Chen, Shuai Yang

“…Taking the high-density urban districts of the Macau Peninsula and Monaco as examples, this study divides the planning index of open space green quantity into two dimensions: the blue-green spaces occupancy rate (BGOR) within urban land areas and the blue-green spaces visibility rate (BGVR) of the main streetscape. Using satellite remote-sensing maps, GIS databases, and street-view images, this study evaluates the current green quantity in both regions and compares them to identify best practices. …”
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Green technologies of the agro-industrial complex as the main element of increasing the competitive innovative development of Central Asia by Tologon Omoshev, Ainura Zhoroeva, Ilgiz Abyshov, Gulzat Kaparova, Dzhamilia Mamyrkulova

“…These prospects, in particular, lie in the possibility of improving soil fertility parameters through the use of biological technologies for processing agricultural waste to develop better fertilisers, searching for soil sites for optimal planting of certain types of crops through the use of remote sensing methods, improving the soil layer treatment process through the use of anti-erosion tillage and many other opportunities that open up when using the technologies in question…”
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Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework by Mengli Zhang, Xianglong Fan, Pan Gao, Li Guo, Xuanrong Huang, Xiuwen Gao, Jinpeng Pang, Fei Tan

“…This study highlights the potential of integrating multi-source remote sensing data with deep learning technologies, offering a pathway to large-scale soil salinity monitoring, and thereby providing valuable support for soil management.…”
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A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks by Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang, Huiyu Zhou

“…Radar image recognition is a hotspot in the field of remote sensing. Under the condition of sufficiently labeled samples, recognition algorithms can achieve good classification results. …”
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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…A sequential Genetic Algorithm (GA) is employed for cost-effective feature selection from 49 geospatial features, including remote sensing and reanalysis data. Histogram Gradient Boosting (HistGB) is then used for predictive modeling of wildfire occurrence, burnt area, and wildfire duration. …”
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Effects of water level changes on the hydrological connectivity and water quality of a lake-type wetland by Yemiao Lin, Junfeng Dai, Xinyue Peng, Zheqing Li, Zupeng Wan

“…Through a combination of remote sensing image data, drone image data and actual measured data on the Mudong Lake water level, the comprehensive ecological-hydrological connectivity index and comprehensive water quality index were used to evaluate the water level changes in Mudong Lake, water body connectivity, and water quality. …”
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Possible Factors Influencing the Seroprevalence of Dengue among Residents of the Forest Fringe Areas of Peninsular Malaysia by Juraina Abd-Jamil, Romano Ngui, Syahrul Nellis, Rosmadi Fauzi, Ai Lian Yvonne Lim, Karuthan Chinna, Chee-Sieng Khor, Sazaly AbuBakar

“…It was also associated with the vast presence of residential areas and the presence of a lake. Remote sensing analysis showed that higher land surface temperatures and lower land elevations also contributed to higher dengue seroprevalence. …”
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Climate Change Vulnerability Assessment in Mangrove-Dependent Communities of Manoka Island, Littoral Region of Cameroon by Evariste Fongnzossie, Denis Jean Sonwa, Philippes Mbevo, Fabrice Kentatchime, Aurelie Mokam, Claude Tatuebu Tagne, Lydie Flora Essamba A. Rim

“…We used household surveys, focus group discussions, field observation, GIS, and remote sensing to collect data on variables of exposure, sensitivity, and adaptive capacity. …”
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Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager by Gen Wang, Kefu Wang, Wei Han, Dongyong Wang, Xuexing Qiu

“…Recognizing the importance and challenges inherent in the remote sensing of precipitation in typhoon monitoring, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. …”
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Grazing regime rather than grazing intensity affect the foraging behavior of cattle by You Wang, Rui Yu, Xin Li, Ronghao Chen, Jiahui Liu

“…The effects of grazing strategies on grassland vegetation were analyzed based on spatial remote sensing data acquired from unmanned aerial systems (UAS). …”
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Effects of Urbanization Expansion on Landscape Pattern and Region Ecological Risk in Chinese Coastal City: A Case Study of Yantai City by Di Zhou, Ping Shi, Xiaoqing Wu, Jinwei Ma, Junbao Yu

“…Applied with remote sensing, GIS, and mathematical statistics, the spatial-temporal evolution characteristics of urbanization expansion of Yantai city from 1974 to 2009 was studied. …”
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades by Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Wei Li, Xinxin Liu, Liangpei Zhang

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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…Traditional fire monitoring methods such as manual inspections, sensor technologies, and remote sensing satellites have limitations. With the advancement of drone technology and deep learning, using drones combined with artificial intelligence for fire monitoring has become mainstream. …”
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