Article
Environmental Sciences
Minkyu Moon, Andrew D. Richardson, Mark A. Friedl
Summary: With the improvement of remote sensing image quality, monitoring land surface phenology using PlanetScope imagery has become more feasible. Comparative analysis shows high consistency among various phenological indicators derived from different data sources.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Jing Pu, Kaishan Song, Yunfeng Lv, Ge Liu, Chong Fang, Junbin Hou, Zhidan Wen
Summary: This study developed a method to effectively extract algal blooms and aquatic vegetation from turbid water bodies using high spatial resolution Sentinel 2 images. By combining the extraction results from multiple indices and utilizing image time series information, the study successfully distinguished algal blooms and aquatic vegetation in five typical lakes in China and mapped their spatial distributions.
Article
Environmental Sciences
Yuhuan Cui, Zhongnan Yan, Jie Wang, Shuang Hao, Youcun Liu
Summary: The PSRCNN model constructed using deep learning technology showed good predictive ability in estimating water transparency in shallow lakes in the eastern China plain. The optimized PSRCNNopt model outperformed other retrieval models with higher accuracy and robustness, demonstrating consistent results with field observations in spatial variations of water transparency in lakes.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agronomy
Taifeng Dong, Jane Liu, Jiangui Liu, Liming He, Rong Wang, Budong Qian, Heather McNairn, Jarrett Powers, Yichao Shi, Jing M. Chen, Jiali Shang
Summary: In this study, the consistency of crop LAI derived from Sentinel-2 and Landsat 8 satellite data using two retrieval approaches was assessed. The results showed that the hybrid approach achieved good spatiotemporal consistencies in LAI estimates from the two satellites.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Geography, Physical
Chao Ding, Yao Li, Qiaoyun Xie, Hao Li, Bingwei Zhang
Summary: Knowledge of the impact of terrain on land surface phenology is essential for understanding how mountainous ecosystems respond to environmental changes. This study investigated the relationship between terrain factors (elevation and aspect) and land surface phenology metrics in the Tianshan Mountains in Xinjiang, China. The results showed that elevation had a significant influence on land surface phenology patterns, with aspect also playing a role at a local scale.
GISCIENCE & REMOTE SENSING
(2023)
Article
Environmental Sciences
Madeline Melichar, Kamel Didan, Armando Barreto-Munoz, Jennifer N. Duberstein, Eduardo Jimenez Hernandez, Theresa Crimmins, Haiquan Li, Myles Traphagen, Kathryn A. Thomas, Pamela L. Nagler
Summary: This research aims to produce the first 30 m continuous land cover map of BCR 33 by prototyping new methods for desert vegetation classification. The developed Random Forest classification model achieved an overall classification F-score of 0.80 and an overall accuracy of 91.68%. The results showed that our model can provide a finer resolution and better identification of smaller habitat pockets than existing land cover maps.
Article
Environmental Sciences
Yanhui Dai, Lian Feng, Xuejiao Hou, Jing Tang
Summary: An automatic SAV classification algorithm using Landsat imagery was developed in this study, with automatically determined thresholds for key parameters. The algorithm showed high accuracy in classifying SAV in Yangtze Plain lakes and obtaining long-term SAV areal data. It is insensitive to Chl-a concentration in the water column, but has a detection limit below the water surface.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Rula Sa, Wenyi Fan
Summary: Accurate measurement of aboveground biomass and other forest characteristics is crucial for evaluating forest quality and carbon stocks. This study uses Landsat 8 and Sentinel-2A sensors to analyze the response differences between their bands and establishes suitable weights for vegetation index using spectral indices, normalization, and ratio techniques to improve saturation effect. Texture features are also analyzed, and a new texture index is proposed to better estimate vegetation parameters. The results show that Sentinel-2A and Landsat 8 are promising remote sensing datasets for assessing forest resources at a regional scale.
Article
Environmental Sciences
Eduarda M. O. Silveira, Volker C. Radeloff, Sebastian Martinuzzi, Guillermo J. Martinez Pastur, Luis O. Rivera, Natalia Politi, Leonidas Lizarraga, Laura S. Farwell, Paul R. Elsen, Anna M. Pidgeon
Summary: The study highlights the importance of integrating inter-annual and spatial variability data for biodiversity conservation, as areas with high spatial variability may have higher ecological resilience. Regions with low spatial variability and high inter-annual variability require increased management efforts, while areas with high spatial variability may be high priority candidates for protection.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
M. Brooke Rose, Nicholas N. Nagle
Summary: The study used Landsat satellite data for forest change assessments, analyzing phenology patterns of forest groups in South Carolina. Differences were found in burned samples but not in unburned samples, showcasing the potential of using this method to describe intra-annual vegetation fluctuations following disturbances.
Article
Environmental Sciences
Quan Wang, Niken Andika Putri, Yi Gan, Guangman Song
Summary: Leaf area index (LAI) is an important parameter for plant ecosystems. This study aims to improve LAI estimation using remote sensing data by combining both spectral and texture information. The results show that the combination of spectral and texture features using the PLS model provides a more accurate estimation scheme for LAI.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Xiaochen Zou, Sunan Zhu, Matti Mottus
Summary: Leaf angle distribution is an important characteristic of canopy structure, but there have been few studies on direct retrieval of leaf angle distribution from remote sensing data. This study demonstrates the potential of using the red edge channels on Sentinel-2 satellite for large-scale mapping of leaf angle distribution. The results show that Sentinel-2 can accurately map the leaf angle distribution of field crops.
Article
Engineering, Civil
Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu, Fanghua Hao, Zengchao Hao, Yahui Guo, Xiaojun Geng, Xiaoyan Li, Xuan Zhang, Jing Tang, Vijay P. Singh, Xuesong Zhang
Summary: The Soil and Water Assessment Tool (SWAT) model is widely used for simulating the water cycle and quantifying the impacts of climate change and human activities on hydrological processes. However, its representation of vegetation dynamics has been a major source of uncertainty. This study improves the SWAT model by incorporating dynamic growth start dates and heat requirements for vegetation growth based on long-term remote sensing data. The improved model shows significant improvements in simulating leaf area index (LAI) and evapotranspiration, indicating the importance of accurately representing phenological dates in vegetation growth modules.
JOURNAL OF HYDROLOGY
(2023)
Article
Geography, Physical
Jilin Yang, Jinwei Dong, Luo Liu, Miaomiao Zhao, Xiaoyang Zhang, Xuecao Li, Junhu Dai, Huanjiong Wang, Chaoyang Wu, Nanshan You, Shibo Fang, Yong Pang, Yingli He, Guosong Zhao, Xiangming Xiao, Quansheng Ge
Summary: Land surface phenology (LSP) is crucial for studying ecosystem response to climate change, vegetation and crop type discrimination, and ecological modeling. Existing coarse resolution data cannot accurately capture spatial heterogeneity and multi-cropping system in China. This study develops a new 30 m LSP algorithm that provides high accuracy and finer spatial details, which is valuable for crop management and ecological assessment in China and other regions with complex landscapes and vegetation seasonality.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Li Pan, Haoming Xia, Xiaoyang Zhao, Yan Guo, Yaochen Qin
Summary: By utilizing time series data and phenological characteristics, this study extracted winter crop planting information in China in 2019. It shows that the phenology-based algorithm is reliable and accurate for large area crop classification.
Article
Fisheries
Maria Beatrice Castellani, Lorenzo Lastrucci, Lorenzo Lazzaro, Rossano Bolpagni, Alice Dalla Vecchia, Andrea Coppi
Summary: This study aims to investigate the diversity harbored in plant communities dominated by P. australis in lentic and lotic habitats. Results showed that the dominance of P. australis had a similar effect on overall plant diversity in both habitats, and there was similar richness and abundance of alien species in the two compared habitats. However, the impact of alien species on different components of diversity varied based on their richness or abundance.
KNOWLEDGE AND MANAGEMENT OF AQUATIC ECOSYSTEMS
(2022)
Article
Biodiversity Conservation
Irene Montanari, Nicola De Bernardini, Gina Gizzi, Rossano Bolpagni, Fabrizio Buldrini, Louise Campione, Ilenia Castellari, Sara Landi, Luigi Spiezia, Alessandro Chiarucci
Summary: The decline of freshwater flora due to alteration, reclamation and trophic perturbation of lowland wetlands is a significant issue in biological conservation. The contribution of heavily modified water bodies in preserving plant diversity is notable, but the underlying ecological mechanisms are not completely explored.
LANDSCAPE AND ECOLOGICAL ENGINEERING
(2022)
Article
Environmental Sciences
Rossano Bolpagni, Alice Dalla Vecchia
Summary: Overexploitation of water, loss of dynamism and climate change are causing increasingly intense and prolonged river drought and baseflow events worldwide, which strongly impacts riverine plant communities. However, data on this key component of river biodiversity are limited, and the role of alien species in riverbeds is expected to be significant.
RIVER RESEARCH AND APPLICATIONS
(2022)
Article
Environmental Sciences
Zac Yung-Chun Liu, Andrew J. Chamberlin, Krti Tallam, Isabel J. Jones, Lance L. Lamore, John Bauer, Mariano Bresciani, Caitlin M. Wolfe, Renato Casagrandi, Lorenzo Mari, Marino Gatto, Abdou Ka Diongue, Lamine Toure, Jason R. Rohr, Gilles Riveau, Nicolas Jouanard, Chelsea L. Wood, Susanne H. Sokolow, Lisa Mandle, Gretchen Daily, Eric F. Lambin, Giulio A. De Leo
Summary: Schistosomiasis is a parasitic disease that affects over 200 million people, mainly in sub-Saharan Africa, and is linked to the construction of dams and water resource management infrastructure. Traditional methods of monitoring snail hosts, which are crucial for disease transmission, are labor-intensive and limited in scope. This study developed a new framework that utilizes satellite data, drone imagery, and artificial intelligence technology to accurately map the spatial distribution of snail habitat, allowing for targeted control interventions.
Article
Environmental Sciences
Erica Matta, Marina Amadori, Gary Free, Claudia Giardino, Mariano Bresciani
Summary: With the increasing need for water resource management, a simple satellite-based tool named LakeVap has been developed to monitor and map evaporation from lakes and reservoirs. Tested on Lake Garda in Italy, LakeVap shows high accuracy and sensitivity to meteorological data, making it a potential tool for operational use in other case studies.
Article
Biodiversity Conservation
Fabrizio Buldrini, Giovanna Pezzi, Martina Barbero, Alessandro Alessandrini, Lucia Amadei, Sebastiano Andreatta, Nicola Maria Giuseppe Ardenghi, Stefano Armiraglio, Simonetta Bagella, Rossano Bolpagni, Ilaria Bonini, Daniela Bouvet, Lisa Brancaleoni, Giuseppe Brundu, Massimo Buccheri, Gabriella Buffa, Simona Ceschin, Alessandro Chiarucci, Annalena Cogoni, Gianniantonio Domina, Luigi Forte, Riccardo Guarino, Leonardo Gubellini, Laura Guglielmone, Nicole Hofmann, Mauro Iberite, Lorenzo Lastrucci, Fernando Lucchese, Rossella Marcucci, Giacomo Mei, Umberto Mossetti, Juri Nascimbene, Nicodemo Giuseppe Passalacqua, Simonetta Peccenini, Filippo Prosser, Giovanni Repetto, Gabriele Rinaldi, Enrico Romani, Leonardo Rosati, Annalisa Santangelo, Anna Scoppola, Giovanni Spampinato, Adriano Stinca, Maria Tavano, Fulvio Tomsich Caruso, Roberta Vangelisti, Roberto Venanzoni, Marisa Vidali, Thomas Wilhalm, Francesco Zonca, Carla Lambertini
Summary: We analysed the invasion history of two North American macrophytes (Elodea canadensis and E. nuttallii) in Italy, through an accurate census of all available herbarium and field records, dating between 1850 and 2019, and a rich literature collection describing the initial introduction and naturalisation phase that supports the results obtained by the occurrence records. The study found that both species had multiple invasion phases, with Elodea canadensis arriving before 1866 and experiencing two invasion phases, while E. nuttallii arrived in the 1970s and is still ongoing. Botanical gardens and fish farming played a crucial role in the dispersal and naturalisation of both species. The study also highlighted the importance of the River Po as a dispersal barrier and strategic monitoring site to prevent further invasion.
BIOLOGICAL INVASIONS
(2023)
Article
Marine & Freshwater Biology
Maria Beatrice Castellani, Andrea Coppi, Rossano Bolpagni, Daniela Gigante, Lorenzo Lastrucci, Lara Reale, Paolo Villa
Summary: Remote sensing reflectance can be used to derive spectro-functional traits, which are connected to plant light use and morpho-structural features. In this study, the links between haplotype and spectro-functional traits in Phragmites australis populations were evaluated, revealing the impact of meteo-climatic factors on aquatic reeds and the presence of different evolutionary strategies.
Article
Environmental Sciences
Caroline Ganglo, Clara Mendoza-Lera, Alessandro Manfrin, Rossano Bolpagni, Verena Gerstle, Sara Kolbenschlag, Eric Bollinger, Ralf Schulz, Andreas Lorke
Summary: Shallow lentic aquatic ecosystems, such as ponds, play a crucial role in carbon cycling and greenhouse gas emission. Tube-dwelling benthic invertebrates, like chironomids, may have a significant impact on the carbon budget of these ecosystems, but their role is still poorly understood.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Erica Matta, Mariano Bresciani, Giulio Tellina, Karin Schenk, Philipp Bauer, Fabian Von Trentini, Nils Ruther, Alena Bartosova
Summary: This study investigates the impact of vegetation indices, bio-physical parameters, meteorological variables, and hydrological data on the spatial and temporal variability of water quality in the Banja reservoir in Albania. The analysis is conducted using Sentinel-2 and Landsat 8/9 images to derive water quality parameters and vegetation properties. The results show significant positive correlations between water turbidity and hydrological parameters, and negative correlations between water turbidity and vegetation descriptors. The integration of earth observation data enhances the analysis of specific time periods or precipitation events.
Article
Limnology
Laura Argus, Tiit Kutser, Birgot Paavel, Martin Ligi, Claudia Giardino, Mariano Bresciani, Tiia Moeller
Summary: Accurate determination of water depth and benthic macroalgae composition in coastal and inland water bodies is important. Conventional methods for benthic habitat mapping are expensive and time-consuming, while remote sensing methods provide additional information about hard-to-reach areas. The study aims to test the suitability of Sentinel-2 imagery in mapping benthic types and estimating bathymetry in optically complex marine and lake waters.
JOURNAL OF LIMNOLOGY
(2023)
Article
Environmental Sciences
Andrea Pellegrino, Alice Fabbretto, Mariano Bresciani, Thainara Munhoz Alexandre de Lima, Federica Braga, Nima Pahlevan, Vittorio Ernesto Brando, Susanne Kratzer, Marco Gianinetto, Claudia Giardino
Summary: This study aims to evaluate the accuracy of PRISMA's standard Level 2d (L2d) products for water bodies in the visible and near-infrared spectral regions. An analytical comparison with in situ water reflectance data from AERONET-OC was performed, and the results showed significant levels of uncertainty in the L2d reflectance products, especially in oligotrophic waters. It suggests the need to develop and test water-specific atmospheric correction algorithms to fully exploit PRISMA data.
Article
Environmental Sciences
Thainara Munhoz Alexandre de Lima, Claudia Giardino, Mariano Bresciani, Claudio Clemente Faria Barbosa, Alice Fabbretto, Andrea Pellegrino, Felipe Nincao Begliomini
Summary: The aim of this study is to test the accuracy of state-of-the-art water constituent retrieval algorithms for phycocyanin (PC) and chlorophyll-a (chl-a) concentrations in Brazilian reservoirs. The algorithms were tested on PRISMA and Sentinel-3 OLCI data, with a focus on PC mapping using OLCI data for its high revisit time. The results suggest that applying the Semi-Analytical algorithm to PRISMA and OLCI data can accurately detect PC in Brazilian reservoirs.
Article
Plant Sciences
Cristina Ribaudo, Sara Benelli, Rossano Bolpagni, Romane Darul, Marco Bartoli
Summary: In eutrophic freshwater ecosystems, the replacement of submerged macrophytes by phytoplankton or free-floating plants leads to the accumulation and degassing of greenhouse gases (GHGs) in the atmosphere. The relationship between primary producers' growth forms, hydrological connectivity, and GHGs concentration is poorly understood. Through monitoring 18 freshwater wetlands, it was found that the colonization of free-floating plants was linked to hypoxic conditions and dissolved methane accumulation. Carbon dioxide accumulation was particularly evident in hydrologically connected wetlands with nitrate pollution. Considering vegetation growth forms and hydrological connectivity as major drivers of GHGs accumulation and evasion rates is important for future studies.
Article
Ecology
Maria Beatrice Castellani, Alice Dalla Vecchia, Rossano Bolpagni, Roberto Natale, Erika Piaser, Lorenzo Lastrucci, Andrea Coppi, Paolo Villa
Summary: The study compared the genetic and phenotypic diversity of two water macrophytes, Phragmites australis and Nuphar lutea, and found differences in their genetic structure and leaf functional traits. Phragmites australis showed consistent genetic structure with other populations, while Nuphar lutea exhibited more complex genetic structure due to genetic isolation and mixed mating system. Both species displayed high variability in leaf functional traits, indicating high phenotypic plasticity. The differentiation of Phragmites australis was predominantly influenced by directional selection, while Nuphar lutea showed a mixed influence of stabilizing and directional selection. This joint analysis provides insights into the relative roles of genetic drift and natural selection in the diversification of phenotypic traits in habitats dominated by Phragmites australis and Nuphar lutea.
FRESHWATER BIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Erika Piaser, Andrea Berton, Rossano Bolpagni, Michele Caccia, Maria Beatrice Castellani, Andrea Coppi, Alice Dalla Vecchia, Francesca Gallivanone, Giovanna Sona, Paolo Villa
Summary: Advancements in airborne imaging spectroscopy have enabled the use of lightweight drones for detailed vegetation assessment. However, surface reflectance anisotropy and view-illumination effects may bias the extracted spectra and derived spectral indices, particularly in aquatic vegetation. This study empirically investigated the impact of illumination conditions and angular configurations on radiometric variability of centimetric resolution drone data over different aquatic plant species. The findings showed a decrement in reflectance under diffuse light conditions and a marked angular reflectance anisotropy in high absorption spectral regions for aquatic vegetation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
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)
