Article
Geography, Physical
Inggit Lolita Sari, Christopher J. Weston, Glenn J. Newnham, Liubov Volkova
Summary: A series of land cover maps distinguishing native forest from plantations were developed using multisource remote sensing in Kalimantan. The study found that nearly half of the native forests in the area were converted to non-forest or oil palm and rubber plantations over 18 years. The highest losses occurred between 2015 and 2016, and degraded or cleared forests were converted to oil palm plantations. However, significant forest regrowth was detected in degraded peatland.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Ecology
Rakesh Fararoda, R. Suraj Reddy, G. Rajashekar, T. R. Kiran Chand, C. S. Jha, V. K. Dadhwal
Summary: Accurate estimation of spatial above ground biomass in tropical forests is crucial for understanding the global carbon cycle. This study combines field inventory data with optical and microwave images to spatially estimate biomass over Indian forests using a random forest approach. The inclusion of multisource data significantly increases the saturation range and reduces estimation error.
ECOLOGICAL INFORMATICS
(2021)
Article
Environmental Sciences
Sang-Eun Park, Yoon Taek Jung, Hyun-Cheol Kim
Summary: This study explores the possibility of using combined interpretation of optical and SAR data to identify and understand the spatiotemporal changes in the permafrost active layer. The results show a significant correlation between winter changes observed in SAR data and summer land cover changes observed in optical data. Additional data from independent sources also support this relationship.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Preet Lal, Amit Kumar, Purabi Saikia, Anup Das, C. Patnaik, Gajendra Kumar, A. C. Pandey, Parul Srivastava, C. S. Dwivedi, M. L. Khan
Summary: The study revealed a high level of species diversity and species evenness in the forests of the Satpura Tiger Reserve in central India. The research found that AGB estimates based on L-VH polarization were more accurate in cross-polarization.
GEOCARTO INTERNATIONAL
(2022)
Article
Multidisciplinary Sciences
Lourens Poorter, Danae M. A. Rozendaal, Frans Bongers, de Jarcilene S. Almeida, Francisco S. Alvarez, Jose Luis Andrade, Luis Felipe Arreola Villa, Justin M. Becknell, Radika Bhaskar, Vanessa Boukili, Pedro H. S. Brancalion, Ricardo G. Cesar, Jerome Chave, Robin L. Chazdon, Gabriel Dalla Colletta, Dylan Craven, Ben H. J. de Jong, Julie S. Denslow, Daisy H. Dent, Saara J. DeWalt, Elisa Diaz Garcia, Juan Manuel Dupuy, Sandra M. Duran, Mario M. Espirito Santo, Geraldo Wilson Fernandes, Bryan Finegan, Vanessa Granda Moser, Jefferson S. Hall, Jose Luis Hernandez-Stefanoni, Catarina C. Jakovac, Deborah Kennard, Edwin Lebrija-Trejos, Susan G. Letcher, Madelon Lohbeck, Omar R. Lopez, Erika Marin-Spiotta, Miguel Martinez-Ramos, Jorge A. Meave, Francisco Mora, Vanessa de Souza Moreno, Sandra C. Muller, Rodrigo Munoz, Robert Muscarella, Yule R. F. Nunes, Susana Ochoa-Gaona, Rafael S. Oliveira, Horacio Paz, Arturo Sanchez-Azofeifa, Lucia Sanaphre-Villanueva, Marisol Toledo, Maria Uriarte, Luis P. Utrera, Michiel van Breugel, Masha T. van der Sande, Maria D. M. Veloso, S. Joseph Wright, Katia J. Zanini, Jess K. Zimmerman, Mark Westoby
Summary: One-third of Neotropical forests are secondary forests that regrow naturally after agricultural use through secondary succession. Wet and dry forests show marked differences in functional traits and successional pathways. Climatic water availability influences the start and trajectory of succession, resulting in convergence of community trait values with forest age.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Plant Sciences
Juan Andres-Mauricio, Jose Rene Valdez-Lazalde, Stephanie P. George-Chacon, Jose Luis Hernandez-Stefanoni
Summary: Optical satellite imagery can have limitations in accurately estimating vegetation structure in tropical forests due to their dense canopy, while synthetic aperture radar imagery can provide better estimates by penetrating the canopy. This study compared the accuracy of forest species richness and attributes using data from Sentinel-2 and ALOS PALSAR, showing that combining variables from both sensors improved estimation accuracy.
APPLIED VEGETATION SCIENCE
(2021)
Article
Environmental Studies
Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Siti Saringatin, Pramaditya Wicaksono, Bachtiar Wahyu Mutaqin, Raihan Rafif
Summary: This study utilized remote sensing data to analyze shoreline changes in East Java Province, Indonesia from 2000 to 2019, revealing that coastal accretion is more significant than erosion in the region, especially in the deltas of the Bengawan Solo and Brantas/Porong rivers.
Article
Forestry
Barbara Zimbres, Pedro Rodriguez-Veiga, Julia Z. Shimbo, Polyanna da Conceicao Bispo, Heiko Balzter, Mercedes Bustamante, Iris Roitman, Ricardo Haidar, Sabrina Miranda, Leticia Gomes, Fabricio Alvim Carvalho, Eddie Lenza, Leonardo Maracahipes-Santos, Ana Clara Abadia, Jamir Afonso do Prado Junior, Evandro Luiz Mendonca Machado, Anne Priscila Dias Gonzaga, Marcela de Castro Nunes Santos Terra, Jose Marcio de Mello, Jose Roberto Soares Scolforo, Jose Roberto Rodrigues Pinto, Ane Alencar
Summary: A study was conducted to build an aboveground woody biomass model for the Brazilian Cerrado biome using optical and SAR imagery, with Random Forest algorithm showing slightly better results compared to the Classification and Regression Tree model. However, the models underestimated very high aboveground woody biomass and slightly overestimated low biomass.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Gabriel M. da Silva, Marcos Adami, David Galbraith, Rodrigo G. M. Nascimento, Yunxia Wang, Yosio E. Shimabukuro, Fabiano Emmert
Summary: This research aimed to analyze the spatial distribution of secondary forests in Para state and estimate the aboveground biomass accumulation of different age land cover. The results showed that the spatial distribution of the secondary forests was influenced by local geopolitics and the younger forests faced the most deforestation. Approximately 5% of Para had its secondary forests deforested in 2014. The aboveground biomass accumulation differed according to the age of the secondary forests in the two pilot areas.
Article
Environmental Sciences
Deha Agus Umarhadi, Wirastuti Widyatmanti, Pankaj Kumar, Ali P. Yunus, Khaled Mohamed Khedher, Ali Kharrazi, Ram Avtar
Summary: Peatlands in Indonesia have experienced subsidence in recent years, leading to significant soil organic carbon loss and environmental issues. Research shows that drained peatlands exhibit slower subsidence rates, and areas with persistent vegetation cover decelerate subsidence. Machine learning methods, like Random Forest regression, have potential for predicting subsidence based on land use/land cover changes, distance from peat edge, and elevation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Matthew G. Hethcoat, Joao M. B. Carreiras, David P. Edwards, Robert G. Bryant, Shaun Quegan
Summary: Selective logging is a major driver of forest degradation in the tropics, and SAR data can be used to monitor forest disturbances, especially in tropical regions with frequent cloud cover. Results suggest that selective logging leads to pixel value changes and that high-intensity tropical selective logging can be detected using dense Sentinel-1 time series analyses.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Forestry
Barbara Hass Kiyohara, Edson Eyji Sano
Summary: This study evaluated the potential of C- and L-band SAR data in discriminating secondary vegetation in the Brazilian Amazon during the rainy season. Nine textural attributes derived from SAR data were used to classify different land use and land cover classes, with the Random Forest algorithm outperforming the Support Vector Machine algorithm. The results of this study can assist in the future development of an operation system to monitor the suppression of secondary vegetation in the Brazilian Amazon or other tropical rainforests using dual-frequency SAR data.
Article
Green & Sustainable Science & Technology
Cezar di Paula da Silva Pinheiro, Luana C. Silva, Valente Jose Matlaba, Tereza Cristina Giannini
Summary: This study analyzed the agribusiness practices and environmental conservation efforts of farmer cooperatives and associations in Para state, Brazil. Fruits and their derivatives were found to be the main products produced by these organizations. There was a positive relationship between the duration of operation and the number of products produced. Legal challenges were more prominent for cooperatives, while associations faced more environmental challenges. The study also found that the current subsidies provided had a limited impact on promoting environmental conservation practices.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Engineering, Aerospace
Monika, Himanshu Govil, Mahesh Thakur
Summary: This study investigates the use of synthetic aperture radar (SAR) technology for subsurface imaging in the Jaisalmer area of India. The results reveal buried and paleochannel signatures using microwave data at the L band. Ground penetrating radar (GPR) is employed for verification, and scientific evidence is collected through systematic ground investigation. This research provides new insights into the identification of buried channels in the Thar desert area.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Multidisciplinary Sciences
Viola H. A. Heinrich, Christelle Vancutsem, Ricardo Dalagnol, Thais M. Rosan, Dominic Fawcett, Celso H. L. Silva Junior, Henrique L. G. Cassol, Frederic Achard, Tommaso Jucker, Carlos A. Silva, Jo House, Stephen Sitch, Tristram C. Hales, Luiz E. O. C. Aragao
Summary: The globally important carbon sink of intact, old-growth tropical humid forests is declining due to climate change, deforestation, and degradation. Recovering tropical secondary and degraded forests now cover about 10% of the tropical forest area, but the amount of carbon they accumulate remains uncertain. This study quantifies the aboveground carbon sink of recovering forests in the Amazon, Borneo, and Central Africa, finding that regrowing degraded and secondary forests counterbalance a significant portion of carbon emissions from forest loss and have potential as future carbon sinks.
Editorial Material
Forestry
Gabriel de Oliveira, Guilherme A. V. Mataveli, Carlos A. C. dos Santos, Liming He, Skye E. Hellenkamp, Beatriz M. Funatsu, Scott C. Stark, Yosio E. Shimabukuro
Article
Environmental Sciences
Khalil Ali Ganem, Yongkang Xue, Ariane de Almeida Rodrigues, Washington Franca-Rocha, Marceli Terra de Oliveira, Nathalia Silva de Carvalho, Efrain Yury Turpo Cayo, Marcos Reis Rosa, Andeise Cerqueira Dutra, Yosio Edemir Shimabukuro
Summary: The scientific understanding of land use and land cover changes in South America's drylands is limited. This paper reviewed existing mapping initiatives and identified knowledge gaps and challenges. Remote sensing data and machine learning algorithms were commonly used, but detailed mapping of dryland vegetation types was lacking. Further research is needed to enhance multi-level studies in dryland vegetation mapping.
Article
Environmental Sciences
Matthew G. Hethcoat, Joao M. B. Carreiras, Robert G. Bryant, Shaun Quegan, David P. Edwards
Summary: Tropical forests are important for carbon and hydrological cycles, biodiversity, climate change mitigation, and the global economy. However, rapid population growth has led to degradation of these forests. The UN's REDD+ program aims to address this, but effective monitoring systems for forest degradation are still needed.
Article
Environmental Sciences
Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas, Nathan Thomas
Summary: This study presents an updated global mangrove forest baseline for 2010, which includes an increased mapping area of 2660 km(2) and an overall accuracy of 95.1%. The improved map contributes to the conservation and sustainable use of mangroves globally.
Article
Biodiversity Conservation
Antonio T. Monteiro, Paulo Alves, Claudia Carvalho-Santos, Richard Lucas, Mario Cunha, Eduarda Marques da Costa, Francesco Fava
Summary: This study used statistical models informed by Sentinel-2 satellite and environmental factors to spatially monitor plant diversity in endangered European mountain pastoral systems. The results showed that a species-energy spatial pathway was the most effective method for monitoring species richness.
Article
Environmental Sciences
Juan Doblas, Mariane S. Reis, Amanda P. Belluzzo, Camila B. Quadros, Douglas R. Moraes, Claudio A. Almeida, Luis E. P. Maurano, Andre F. A. Carvalho, Sidnei J. S. Sant'Anna, Yosio E. Shimabukuro
Summary: Continuous monitoring of tropical forests is crucial for proactive preservation efforts and stopping further destruction of vegetation. SAR-based systems offer advantages for all-weather disturbance detection, with the DETER-R system in the Brazilian Amazon producing 88,572 forest disturbance warnings in its first year of operation. The system demonstrated a very low rate of false positives and identified additional warnings not detected by optical systems.
Article
Environmental Sciences
Pete Bunting, Ake Rosenqvist, Lammert Hilarides, Richard M. Lucas, Nathan Thomas, Takeo Tadono, Thomas A. Worthington, Mark Spalding, Nicholas J. Murray, Lisa-Maria Rebelo
Summary: Mangroves are a globally important ecosystem that have significantly reduced in extent over the last 50 years due to deforestation caused by agricultural and aquaculture expansion. This study used SAR imagery to develop a long-term time-series of global mangrove extent and found a 3.4% loss in mangrove cover over 24 years.
Article
Environmental Sciences
Giovanna Wolswijk, Africa Barrios Trullols, Jean Huge, Viviana Otero, Behara Satyanarayana, Richard Lucas, Farid Dahdouh-Guebas
Summary: This study estimated the carbon budget of Matang Mangrove Forest Reserve (MMFR) in peninsular Malaysia. The research found that the mangrove forest has significant carbon stocks, but the commercial exploitation also leads to greenhouse gas emissions. Taking into account both protective and productive zones, the overall carbon budget of MMFR is slightly positive.
Article
Forestry
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Andeise C. Dutra, Guilherme Mataveli, Valdete Duarte, Paulo R. Martini, Henrique L. G. Cassol, Danilo S. Ferreira, Luis R. Junqueira
Summary: This article presents a method using orbital remote sensing and machine learning algorithm for mapping forest plantations in Sao Paulo State, Brazil. The method utilizes Landsat images and spectral indices to classify the plantations and compares the results with land use and land cover maps. The proposed method has potential for automatic mapping of forest plantations on regional and global scales.
Article
Biodiversity Conservation
J. F. Minett, D. M. Fowler, J. A. H. Jones, P. Brickle, G. T. Crossin, S. Consuegra, C. Garcia de Leaniz
Summary: Non-native salmonids are protected in the Southern hemisphere, but they pose a threat to native fishes. The introduction and spread of brown trout in the Falkland Islands have been facilitated by human assistance. Without containment measures, brown trout may invade almost all suitable freshwater habitats in the Falklands, putting native freshwater fishes at risk of extinction.
BIOLOGICAL INVASIONS
(2023)
Article
Forestry
Gabriel M. da Silva, Marcos Adami, David Galbraith, Rodrigo G. M. Nascimento, Yunxia Wang, Yosio E. Shimabukuro, Fabiano Emmert
Summary: This research aimed to analyze the spatial distribution of secondary forests in Para state and estimate the aboveground biomass accumulation of different age land cover. The results showed that the spatial distribution of the secondary forests was influenced by local geopolitics and the younger forests faced the most deforestation. Approximately 5% of Para had its secondary forests deforested in 2014. The aboveground biomass accumulation differed according to the age of the secondary forests in the two pilot areas.
Article
Forestry
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Tania B. Hoffmann, Valdete Duarte, Paulo R. Martini, Andeise Cerqueira Dutra, Guilherme Mataveli, Henrique L. G. Cassol, Marcos Adami
Summary: This study aims to develop a new method for mapping Land Use and Land Cover (LULC) classes in Sao Paulo State, Brazil, using Landsat-8 OLI data. The proposed method selects images based on the spectral and temporal characteristics of the LULC classes. The classification achieved an overall accuracy of 89.10% and demonstrated potential to minimize classification errors. Overall, this work provides valuable insights for land management and planning in the region. Rating: 8/10.
Article
Ecology
Yosio Edemir Shimabukuro, Gabriel de Oliveira, Gabriel Pereira, Egidio Arai, Francielle Cardozo, Andeise Cerqueira Dutra, Guilherme Mataveli
Summary: The Pantanal biome in Brazil has been experiencing a prolonged drought since 2019, leading to natural disasters and the 2020 Pantanal fire crisis. This study used Sentinel-2 MSI images to map the extent of the burned area in the Brazilian portion of the Pantanal during the crisis. A machine learning algorithm (Random Forest) was used to classify the burned areas, resulting in an overall accuracy of 95.9% and an estimate of 44,998 km(2) burned. This research highlights the importance of developing improved approaches to understanding the impacts of fire in climate change-sensitive regions like the Pantanal.
Proceedings Paper
Geosciences, Multidisciplinary
Yosio Edemir Shimabukuro, Egidio Arai, Gabriel Maximo da Silva, Andeise Cerqueira Dutra, Guilherme Augusto Verola Mataveli, Valdete Duarte, Paulo Roberto Martini
Summary: This article presents a method to map forest plantation using Landsat TM data and fraction images for classification and monitoring.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Proceedings Paper
Geosciences, Multidisciplinary
Gabriel Maximo da Silva, Egidio Arai, Yosio Edemir Shimabukuro, Anielli Rosane de Souza, Tania Beatriz Hoffmann, Andeise Cerqueira Dutra, Paulo Roberto Martini, Valdete Duarte
Summary: The article presents a land use and land cover classification map in Sao Paulo State, Brazil, using the Random Forest algorithm. The study also assesses burned areas using two products. The results emphasize the importance of land use and land cover classification for understanding fire-prone areas and provide valuable tools for environmental planning and monitoring of burned areas.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)