Insights into mapping tropical primary wet forests in the Amazon Basin from satellite-based time series metrics of canopy stability by Brendan Mackey, Sonia Hugh, Tatiana Shestakova, Brendan M. Rogers, Ludmila Rattis

“…Canopy stability was explored using a time series of remotely sensed MODIS data for the period 2003–2019 at a 500 m pixel resolution. …”
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Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

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Assessment of ecological resilience and its response mechanism to land spatial structure conflicts in China’s Southeast Coastal Areas by Yuemin Fan, Guoen Wei

“…This study develops an assessment framework for ecological resilience (ER) and “Production-Living- Ecological” space structure conflict (SCCI) utilizing multi-source remote sensing data and socioeconomic statistics from 2000 to 2022. …”
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Land use transition and its driving mechanisms in China’s human-elephant conflict areas by WANG Yuan, WANG Yahui, YANG Aoxi, FAN Hui, XIE Fei

“…[Methods] This study focuses on the human-elephant conflict areas in Pu’er City and Xishuangbanna Prefecture in Yunnan Province as the study areas, based on four periods of remote sensing images in 1990, 2000, 2010, and 2020, as well as two periods of household questionnaire survey data in 2020 and 2022, utilizing spatial analysis and input-output analysis methods to reveal the characteristics and driving mechanisms of land use transition in human-elephant conflict zones. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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Comparison between Satellite Water Vapour Observations and Atmospheric Models’ Predictions of the Upper Tropospheric Thermal Radiation by J. R. Dim, T. Y. Nakajima, T. Takamura, N. Kikuchi

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Study on the driving mechanism of spatio-temporal non-stationarity of vegetation dynamics in the Taihangshan-Yanshan Region by Jiao Pang, Minli Wang, Huicong Zhang, Liyao Dong, Jiarui Li, Yanrui Ding, Zhenzhou Zhu, Feng Yan

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A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel Physical and Mechanical Parameters: A Case Study of the Upper Yangzi River by Yunxin Zhan, Zhi Song, Dan Li, Lian Xue, Tianju Huang

“…In this work, regional seismic landslide data were obtained via a field survey, remote sensing interpretation, and data collection, and a multilevel physical and mechanical parameter system for seismic landslide hazard assessment was established; this system included a landslide inventory, loose accumulation layers, and geological units, enabling higher accuracy in the data. …”
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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…This research aims to better understand the PM2.5 distribution in Sri Lanka by analyzing data collected by that BAM, and leveraging low-cost sensors, model and remote sensing data. BAM data show PM2.5 levels were “Unhealthy for Sensitive Groups” or “Unhealthy” according to the U.S. classification system, for at least 50% of the time between each November and the following February. …”
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Spatial assessment of soil erosion using the revised universal soil loss equation (RUSLE) model for sustainable marine ecosystems in the coastal of northern part, Aceh Province by Nanda Muhammad, Alwan Muhammad, Ghufran Muhammad, Fahlefy M. Iqbal Ichsan, Husein Ismail, Haridhi Haekal Azief, Munir Badrul, Sari Intan Mulia, Asyqari Amir, Hasyem Tarmizi, Muhammad Muhammad, Permatasari Indah, Yunus Sayed

“…This research combines the Revised Universal Soil Loss Equation (RUSLE) model with GIS and remote sensing to provide an innovative spatial evaluation of soil erosion risks. …”
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The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Methods modeling vegetation distribution, such as species distribution modeling (SDM), are useful for understanding climate change, but require precise sampling, which is a significant effort when large-scale periodic surveys are required. Remote sensing technology using satellite imagery and unmanned aerial vehicles (UAVs) reduces labor, but it is difficult to determine the species that are surrounded by a canopy in forests. …”
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Environmental impacts of urban growth and land use changes in tropical cities by Timothy O. Ogunbode, Victor O. Oyebamiji, David O. Sanni, Emmanuel O. Akinwale, Francis O. Akinluyi

“…A combination of remote sensing and survey methods was employed. Landsat images from 1982 to 2023 were analyzed using supervised classification techniques to map changes in land cover categories such as built-up areas, vegetation, farmland, bare land, and water bodies. …”
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Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection by Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Anis Koubaa

“…We are currently investigating deep-learning-based object detection algorithms and remote sensing (RS) technologies to enhance industry efficiency. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…This paper reviews the unique aspects and research priorities in forage phenotypic monitoring, highlights key remote sensing platforms, examines the applications of advanced sensing technology for quantifying phenotypic traits, explores artificial intelligence (AI) algorithms in phenotypic data integration and analysis, and assesses recent progress in phenotypic genomics. …”
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Location optimization of urban fire stations considering the variations in fire service demands: a bi-objective coverage model by Yulong Chen, Jing Yao, Shaohua Wang, Zhizhu Lai, Leying Wu, Guanpeng Dong

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Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

“…Abstract In the last decades, the availability of multi-source, multi-scale, and multi-resolution remote sensing data and the consequent progress of processing techniques brought a significant positive impact for landslide detection. …”
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Evolution and trend of landslide research in India based on a decade long publication record by Ashutosh Kainthola, Vishnu Himanshu Ratnam Pandey, Gaurav Kushwaha, Kumari Priya, P. K. Singh, T. N. Singh

“…The studies primarily focus on regions such as Uttarakhand, Himachal Pradesh, Tamil Nadu, and Kerala. Remote sensing and GIS emerged as the most frequently used approaches, appearing in 31 studies, followed by empirical methods (25 studies) and numerical techniques (20 studies). …”
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Analytic Hierarchy Process (AHP) for a Landfill Site Selection in Chachapoyas and Huancas (NW Peru): Modeling in a GIS-RS Environment by Jhonsy O. Silva López, Rolando Salas López, Nilton B. Rojas Briceño, Darwin Gómez Fernández, Renzo E. Terrones Murga, Daniel Iliquín Trigoso, Elgar Barboza Castillo, Manuel Oliva Cruz, Miguel Ángel Barrena Gurbillón

“…Therefore, this study provides a management tool for identifying suitable sites for landfills through the integrated use of the analytic hierarchy process (AHP), geographic information systems (GISs), and remote sensing (RS). Accordingly, fourteen subcriteria were identified and grouped into physical (7), environmental (3), and socioeconomic (4) criteria and were weighed using pairwise comparison matrices (PCMs). …”
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Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network by Yantao Ma, Jie Xue, Xinlong Feng, Jianping Zhao, Junhu Tang, Huaiwei Sun, Jingjing Chang, Longke Yan

“…In this study, we propose a framework that integrates remote sensing data, time series generative adversarial network (TimeGAN), dynamic Bayesian network (DBN), and optimization model to assess crop water productivity and optimize crop planting structure under limited water resources allocation in the Qira oasis. …”
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