Article
Geochemistry & Geophysics
Xin Ye, Huazhong Ren, Jinshun Zhu, Wenjie Fan, Qiming Qin
Summary: Land surface temperature (LST) is a key parameter in the energy exchange between land surface and atmosphere. Thermal infrared remote sensing is an important method for obtaining LST over a large area. In this study, four split-window algorithms were developed and compared for their accuracy and noise sensitivity under different observation conditions. The proposed algorithm showed higher accuracy and similar spatial distribution compared to the existing Landsat-9 LST products.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Jinshun Zhu, Huazhong Ren, Xin Ye, Yuanjian Teng, Hui Zeng, Yu Liu, Wenjie Fan
Summary: This article develops the PKULAST model, a Python package for processing LST from thermal infrared remote sensing data. Tested with ASTER imagery, the model shows promise in accurately deriving LST. It can facilitate the development of new LST retrieval algorithms and generation of scientific products.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Joan M. Galve, Juan M. Sanchez, Vicente Garcia-Santos, Jose Gonzalez-Piqueras, Alfonso Calera, Julio Villodre
Summary: This study evaluates the performance of several algorithms for estimating land surface temperature (LST) from Landsat 8/TIRS under high-contrast semiarid agroecosystem conditions. A simplified single band atmospheric correction method was proposed and showed potential for LST estimation, while also setting the uncertainty for LST estimates in high-contrast semiarid agroecosystems.
Article
Environmental Sciences
Claudia Maria Nascimento, Wanderson de Sousa Mendes, Nelida Elizabet Quinonez Silvero, Raill Roberto Poppiel, Veridiana Maria Sayao, Andre Carnieletto Dotto, Natasha Valadares dos Santos, Merilyn Taynara Accorsi Amorim, Jose A. M. Dematte
Summary: Research on soil degradation is crucial for environmental protection and land management. By combining satellite images with environmental information, a Soil Degradation Index (SDI) was developed to classify soil degradation levels into five groups, supporting decision-making on land use planning and management. Through comprehensive analysis of various factors, the study contributes significantly to understanding and addressing soil degradation issues.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Geography, Physical
Si-Bo Duan, Zhao-Liang Li, Wei Zhao, Penghai Wu, Cheng Huang, Xiao-Jing Han, Maofang Gao, Pei Leng, Guofei Shang
Summary: This study validated Landsat 5, 7, and 8 land surface temperature products in the conterminous United States from 2009 to 2019 using in situ measurements. The results showed consistent performance among the three sensors, but large biases were observed at vegetated sites due to incorrect land surface emissivity estimation.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Geography, Physical
Nanyang Yan, Zhen Sun, Wei Huang, Zhao Jun, Shaojie Sun
Summary: Atmospheric correction is a major challenge in ocean color remote sensing, and it threatens the comprehensive evaluation of water quality in aquatic environments. This study evaluated and compared five state-of-the-art atmospheric correction processors applied to Landsat-8 satellite data. The results showed that L2gen produced the most accurate remote sensing reflectance (Rs) in the visible bands, followed by Polymer, C2RCC, iCOR, and Acolite. Recommendations for improving the accuracy of atmospheric correction were also provided, such as using polarization observations and concurrent aerosol and ocean color measurements.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Geochemistry & Geophysics
Huazhong Ren, Xin Ye, Jing Nie, Jinjie Meng, Wenjie Fan, Qiming Qin, Yanzhen Liang, Hongcheng Liu
Summary: A novel feature-band linear-format hybrid (FebLihy) algorithm combining deep neural network (DNN) model and physical model was proposed for simultaneous retrieval of atmospheric parameters, land surface temperature (LST), and emissivity from thermal hyperspectral remote sensing data. The algorithm showed promising results in terms of accuracy and effectiveness in both simulation and real data experiments. Future studies will focus on further optimizing the model and data for improved performance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Jiangqin Chao, Zhifang Zhao, Zhibin Lai, Shiguang Xu, Jianyu Liu, Ziyang Li, Xinle Zhang, Qi Chen, Haiying Yang, Xin Zhao
Summary: This study used winter land surface temperature (LST) time series data derived from thermal infrared remote sensing to identify geothermal anomaly areas in the Ruili Basin. By excluding the heat island effect and using drilling data, the infrared remote sensing method proved to be effective in detecting LST anomalies and has significance in regional geothermal prospecting.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Junwei Wang, Zhongping Lee, Daosheng Wang, Shaoling Shang, Jianwei Wei, Alex Gilerson
Summary: The innovative MPACA approach for atmospheric correction in coastal waters, based on a revised POLYMER model, showed promising results in accurately retrieving remote sensing reflectance (R-rs(lambda)) from high-spatial-resolution satellite measurements. The performance of MPACA, which assumed uniform aerosol types and varying aerosol loads and water properties, was validated using Landsat-8 OLI images and in-situ matchups, outperforming other methods like SeaDAS and Acolite.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Michael Alonzo, Jamon van den Hoek, Paulo J. Murillo-Sandoval, Cara E. Steger, John Aloysius Zinda
Summary: This study introduces a simple tool pyNITA to help SES researchers map land change at local to regional scales. The tool, accessed through a streamlined graphical user interface, requires minimal user parameterization to generate long-term trends and identify key change dates.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Meteorology & Atmospheric Sciences
Majid Nazeer, Christopher Olayinka Ilori, Muhammad Bilal, Janet Elizabeth Nichol, Weicheng Wu, Zhongfeng Qiu, Bijoy Krishna Gayene
Summary: The objective of atmospheric correction is to retrieve surface reflectance from TOA reflectance. The SREM method, which does not require AOD, water vapor, and ozone data, shows comparable accuracy and robustness in estimating surface reflectance.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Weining Zhu, Wei Xia
Summary: Atmospheric correction (AC) is crucial for preprocessing remote sensing images, but it is not always necessary for remote sensing classification. A recent approach of remote sensing statistical inference for assessing water quality always requires AC. To determine whether AC is necessary for remote sensing statistical inference, we conducted a theoretical analysis and image validations using Landsat-8 data. The results show that AC is better when performing quantitative inference on a specific water body, but it may not be necessary for a large number of water bodies with low inference accuracy requirements.
Review
Geochemistry & Geophysics
Rui Chen, Gaofei Yin, Wei Zhao, Kai Yan, Shengbiao Wu, Dalei Hao, Guoxiang Liu
Summary: Rugged terrain poses challenges to optical remote sensing, and topographic correction (TC) is crucial for accurate land cover classification and parameter retrieval. This systematic review examines 426 publications from 1980 to 2022, revealing a growing interest in TC driven by the availability of high-resolution remote sensing data and DEMs. Most studies focus on low-elevation regions, with increasing attention to China. Satellite acquisitions for TC show a seasonal imbalance, concentrated in months with favorable solar illumination.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2023)
Article
Geochemistry & Geophysics
Wei Zhao, Xinjuan Li, Wei Wang, Fengping Wen, Gaofei Yin
Summary: The study proposes a Downwelling Shortwave Radiation (DSR) based correction method that effectively considers topographic effects and corrects NDVI values for poorly illuminated surfaces. The DSRC method demonstrates advantages in retaining spectral patterns and normalizing surface reflectance, compared to other existing methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geography, Physical
Junwei Wang, Yongchao Wang, Zhongping Lee, Daosheng Wang, Shuguo Chen, Wendian Lai
Summary: In this study, an atmospheric correction algorithm named ACANIR-NN based on NASA SeaDAS was proposed to achieve reliable atmospheric correction without SWIR bands for sensors. The performance of ACANIR-NN was evaluated at eight coastal locations and compared with ground measurements, showing that ACANIR-NN retrieved Rrs with smaller Mean Absolute Percent Difference (MAPD) compared to the standard SeaDAS algorithm. The applicability of ACANIR-NN to turbid waters was also demonstrated using SeaWiFS measurements.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Emilie Delogu, Albert Olioso, Aubin Allies, Jerome Demarty, Gilles Boulet
Summary: Continuous daily estimates of evapotranspiration (ET) are crucial for water management in agriculture. This study evaluates the performance of different reference quantities in reconstructing seasonal ET from sparse estimates, highlighting the importance of revisit frequency for accurate results. Additionally, simple methods like using global radiation can provide robust estimates at a seasonal scale.
Article
Agronomy
Abdelhakim Amazirh, Salah Er-Raki, Nitu Ojha, El Houssaine Bouras, Vincent Rivalland, Olivier Merlin, Abdelghani Chehbouni
Summary: Accurate estimation of evapotranspiration is crucial for water science, with FAO-56 being a commonly used method. This study focused on improving ETc estimates through remote sensing data assimilation, demonstrating better results using in situ and remotely sensed data in a semi-arid area in Morocco.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Samuel Mwangi, Gilles Boulet, Albert Olioso
Summary: The study presents a modified version of the SPARSE model that incorporates sunlit/shaded soil/vegetation elements and a radiative transfer model, improving the retrieval of surface fluxes. It also investigates the sensitivity of flux and component temperature estimates to the viewing direction of the thermal sensor, showing a significant reduction in sensitivity.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Engineering, Civil
Aubin Allies, Albert Olioso, Bernard Cappelaere, Gilles Boulet, Jordi Etchanchu, Helene Barral, Ibrahim Bouzou Moussa, Jean-Philippe Chazarin, Emilie Delogu, Hassane Bil-Assanou Issoufou, Ibrahim Mainassara, Monique Oi, Jerome Demarty
Summary: This study developed a data fusion approach to provide remote sensing-based continuous daily ET estimates at kilometric resolution in Sahelian areas. The fusion approach was evaluated against eddy-covariance measurements and land surface model simulations, and showed a very good agreement with both in situ measurements and simulations.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Josep Bonsoms, Gilles Boulet
Summary: Estimating evapotranspiration at the field scale is important for sustainable water management. This study compares different methods for estimating ground heat flux using remote sensing data. The results show that surface temperature is the driving factor for ground heat flux in bare soils and sparse vegetation areas, while the accuracy decreases in densely vegetated areas. Machine learning methods outperform empirical equations in estimating ground heat flux.
Article
Environmental Sciences
Jordi Inglada, Julien Michel, Olivier Hagolle
Summary: In this study, a statistical quantitative approach is used to investigate the unique information contained in each Sentinel-2 band. The results show that for most observed surfaces, the reflectances of most bands can be reconstructed from the rest of the observed bands, indicating potential for removing multiple bands in future sensors.
Article
Environmental Sciences
Nesrine Farhani, Julie Carreau, Zeineb Kassouk, Michel Le Page, Zohra Lili Chabaane, Gilles Boulet
Summary: This study compares indices from different spectral domains in monitoring the impact of drought on agro-ecosystems. The results show that thermal indices perform as well as SWI at higher resolution, but are more sensitive to drought periods and react quickly to water stress.
Article
Geosciences, Multidisciplinary
Kaniska Mallick, Dennis Baldocchi, Andrew Jarvis, Tian Hu, Ivonne Trebs, Mauro Sulis, Nishan Bhattarai, Christian Bossung, Yomna Eid, Jamie Cleverly, Jason Beringer, William Woodgate, Richard Silberstein, Nina Hinko-Najera, Wayne S. Meyer, Darren Ghent, Zoltan Szantoi, Gilles Boulet, William P. Kustas
Summary: Global evaporation monitoring has been historically challenging due to the lack of direct measurements of aerodynamic temperature. This study presents a non-parametric model that directly retrieves evaporation from thermal satellite data without the need for empirical corrections. The results show significant agreement with eddy covariance observations across various biomes and aridity levels. This research provides a new perspective for global evaporation mapping and emphasizes the critical role of biophysical interactions in evaporation processes.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Water Resources
Lahoucine Hanich, Abdelghani Chehbouni, Simon Gascoin, Abdelghani Boudhar, Lionel Jarlan, Yves Tramblay, Gilles Boulet, Ahmed Marchane, Mohamed Wassim Baba, Christophe Kinnard, Vincent Simonneaux, Younes Fakir, Lhoussaine Bouchaou, Marc Leblanc, Michel Le Page, Hafsa Bouamri, Salah Er-Raki, Said Khabba
Summary: This paper provides a summary of the research activities on snow hydrology in the Atlas Mountains over the past twenty years. The study combines in situ measurements, remote sensing, and modeling to provide accurate information on snow water equivalent for policy-makers to design and implement appropriate water resource management strategies.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Environmental Sciences
K. V. Athira, R. Eswar, Gilles Boulet, Rahul Nigam, Bimal K. Bhattacharya
Summary: When estimating evapotranspiration (ET) using remote sensing (RS) models, the input aggregation approach provides better results for monthly and weekly ET values compared to the output aggregation approach. Additionally, at least seven to eight satellite observations per month are required for reliable ET estimates using RS-based models.
Article
Environmental Sciences
Tian Hu, Kaniska Mallick, Glynn C. Hulley, Lluis Perez Planells, Frank M. Gottsche, Martin Schlerf, Patrik Hitzelberger, Yoanne Didry, Zoltan Szantoi, Itziar Alonso, Jose A. Sobrino, Drazen Skokovic, Jean-Louis Roujean, Gilles Boulet, Philippe Gamet, Simon Hook
Summary: This study validates and compares the accuracy of high spatial resolution land surface temperature (LST) products from ECOSTRESS, ASTER, and Landsat, using data from 9 sites in Europe and Africa. The results show consistent performance and high accuracy among these LST products, with some bias and a precision of around 1.5 K. The recalibration of the ECOSTRESS Level 1 radiance data in the future is expected to improve the accuracy of ECOSTRESS LST further.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Agronomy
Luis-Enrique Olivera-Guerra, Pierre Laluet, Victor Altes, Chloe Ollivier, Yann Pageot, Giovanni Paolini, Eric Chavanon, Vincent Rivalland, Gilles Boulet, Josep-Maria Villar, Olivier Merlin
Summary: The modeling of irrigation in land surface models is usually based on two soil moisture parameters, SMthreshold and SMtarget, which determine the start and stop of irrigation. However, agricultural practices vary greatly. Therefore, a new calibration method is proposed to represent irrigation water use in various irrigation regimes. The performance of the proposed irrigation module is evaluated over a 5-year period, and it consistently outperforms other benchmark modules, accurately simulating farmers' practices and water use.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Tian Hu, Kaniska Mallick, Patrik Hitzelberger, Yoanne Didry, Gilles Boulet, Zoltan Szantoi, Benjamin Koetz, Itziar Alonso, Madeleine Pascolini-Campbell, Gregory Halverson, Kerry Cawse-Nicholson, Glynn C. Hulley, Simon Hook, Nishan Bhattarai, Albert Olioso, Jean-Louis Roujean, Philippe Gamet, Bob Su
Summary: The ECOSTRESS mission collects thermal images to understand the variations in terrestrial evapotranspiration in response to soil water availability and atmospheric aridity. The ECOSTRESS ET products generated in the EEH using different models were evaluated and compared. The STIC and SEBS models showed comparable performances, while the TSEB model had higher errors. The STIC ET estimates had higher accuracy than the operational ECOSTRESS ET product from the NASA PT-JPL model.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Samuel Mwangi, Gilles Boulet, Michel Le Page, Jean Philippe Gastellu-Etchegorry, Joaquim Bellvert, Baptiste Lemaire, Pascal Fanise, Jean-Louis Roujean, Albert Olioso
Summary: In this article, the authors investigate the influence of thermal radiation directionality and its impact on surface energy balance simulations. They found that the nonisotropic version of the SPARSE model, SPARSE4, is less influenced by viewing direction compared to the isotropic SPARSE model. However, the simple radiative transfer methods used in the study cannot adequately reproduce certain directional/asymmetrical artifacts, potentially affecting the subsequent thermal-infrared-driven surface energy balance modeling.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Radoslaw Guzinski, Hector Nieto, Juan Manuel Sanchez, Ramon Lopez-Urrea, Dalenda Mahjoub Boujnah, Gilles Boulet
Summary: This study evaluates the utility of Copernicus data for monitoring actual evapotranspiration, showing that Copernicus-based ET can achieve high correlation with field measurements and potentially better spatial-scale consistency compared to WaPOR data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)