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A Statistical Split Window Method Without Atmospheric Profile Input for Temperature and Emissivity Retrieval from Airborne Long-Wavelenght Infrared Hyperspectral Imagery

1. Introduction Land Surface Temperature (LST) and Emissivity (LSE) are critical physical parameters for analyzing and modeling the Earth’s surface (Manolakis et al., 2019). LST and LSE represent the thermal properties and types of land surfaces, respectively, and together they influence the radiance emitted from the ground. Given the limited availability of open-access long-wavelength infrared (LWIR)

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Advancing Rice and Wheat Monitoring in Egypt’s Nile Delta: Insights from Sentinel-2 and Machine Learning

A recent study published in Recent Advances in Remote Sensing presents an innovative methodology for mapping rice and wheat crops in Egypt’s Nile Delta from 2018 to 2022. This work, part of the ESA EO Africa initiative, focuses on the Gharbia Governorate, a critical agricultural region for food security in the country. The research, conducted

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Mapping rice and wheat crops in Egypt’s Nile Delta using Sentinel-2 from 2018 to 2022

1.    Introduction According to the 2023 African Regional Overview of Food Security and Nutrition [1] developed by FAO (Food and Agriculture Organization of the United Nations), AU (African Union), ECA (United Nations Economic Commission for Africa) and the WFP (World Food Program), Africa is facing a severe food crisis. In some regions, most people do

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Agriculture monitoring: from global to precision agriculture

Agriculture monitoring: from global to precision agriculture Manuscript submission deadline: 31 December 2026 Topic Editors Belen Franch Global Change Unit, Image Processing Laboratory, University of Valencia, Spain. Chiara Corbari Politecnico di Milano, Department of Civil and Environmental Engineering, Milan, Italy About this Research Topic Agriculture monitoring is one of the major applications of the Earth Observation (EO)

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Methodology for burned areas delimitation and fire severity assessment using Sentinel-2 data. A case study of forest fires occurred in Spain between 2018 and 2023

1.     Introduction Over the last decades, forest fires have become an environmental problem with serious ecological, economic and social effects (Pausas & Keeley, 2019). Although it is a global challenge, in a specifically vulnerable country like Spain and in a scenario of climate change (Sobrino et al., 2024), it is particularly serious (Picos et al.,

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New Study Reveals Warming Trends in the World’s Largest Lakes

A recent study published in Recent Advances in Remote Sensing reveals warming trends in ten of the world’s largest lakes: Caspian Sea, Superior, Victoria, Huron, Michigan, Tanganyika, Baikal, Great Slave Lake, Erie, and Ontario. This analysis, conducted by the Global Change Unit at the University of Valencia, utilized data from the MODIS Level 3 SST

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Professor José A. Sobrino Appointed Editor-in-Chief of Recent Advances in Remote Sensing

Professor José A. Sobrino Appointed Editor-in-Chief of Recent Advances in Remote Sensing. Recent Advances is pleased to announce the appointment of Professor Jose A. Sobrino as the Editor-in-Chief of journal Recent Advances in Remote Sensing. Dr. José A. Sobrino is a Professor in the Department of Earth Physics at the University of Valencia, Spain. He

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Intelligent Sensing and Image Processing: Exploring Spatial and Temporal Variability of Remote Sensing Indexes

Intelligent Sensing and Image Processing: Exploring Spatial and Temporal Variability of Remote Sensing Indexes Manuscript submission deadline: 31 December 2026 Topic Editor Naoufal Raissouni University Professor, Remote Sensing Systems and Telecommunications Unit, former Head RSAID Lab., The National School for Applied Sciences, Tetuan, UAE, Morocco. Nizar Ben Achhab Head Dept. of Mathematics and Computer Sciences, Mathematics and

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Artificial Intelligence – based methods for temperature retrieval and related applications from remote sensing data

Artificial Intelligence – based methods for temperature retrieval and related applications from remote sensing data Manuscript submission deadline: 31 December 2026 Topic Editor Juan Carlos Jimenez-Muñoz Global Change Unit, Image Processing Laboratory, University of Valencia, Spain About this Research Topic This Special Issue is devoted to the latest advances in Artificial Intelligence (AI) algorithms applied to

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Recent Advances in Quantitative Remote Sensing RAQRS VII

Recent Advances in Quantitative Remote Sensing RAQRS VII The deadline for submitting the papers is set on the 31 of December, 2025 (25% discount on the APC!). Topic Editor José A. Sobrino Global Change Unit, Image Processing Laboratory, University of Valencia, Spain. About this Special Issue As a result of the seventh Symposium on Recent Advances in Quantitative

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