Article
Geography, Physical
James Wickham, Stephen V. Stehman, Daniel G. Sorenson, Leila Gass, Jon A. Dewitz
Summary: The National Land Cover Database (NLCD), an operational land cover monitoring program, releases a land cover database every 2-3 years. The recent release, NLCD2019, extends the database to 18 years. A stratified random sample was used to collect land cover reference data for the 2016 and 2019 components of NLCD2019. The overall accuracies (OA) for land cover classification were evaluated and potential adjustments to improve map accuracy were discussed based on the analysis of map-reference agreement.
GISCIENCE & REMOTE SENSING
(2023)
Article
Environmental Sciences
Tingting Zhao, Xiao Zhang, Yuan Gao, Jun Mi, Wendi Liu, Jinqing Wang, Mihang Jiang, Liangyun Liu
Summary: In the past decades, several fine-resolution global land cover (GLC) products have been developed with the development of computing capacity and free access to imagery. However, there is a lack of consistency analysis or comprehensive accuracy assessment using a common validation dataset for these GLC products. In this study, a novel stratified random sampling GLC validation dataset (SRS_Val) was developed, and the accuracy of six GLC products was quantitatively assessed. The results revealed variations in accuracy and consistency among the GLC products.
Article
Environmental Sciences
Wangle Zhang, Jiwen Wang, Hate Lin, Ming Cong, Yue Wan, Jingxiong Zhang
Summary: This paper presents a novel fusion method that weights multiple source products based on their map-reference cover type transition probabilities. The proposed method outperforms three alternative methods in terms of overall accuracy in a case study over Shaanxi province, China.
Article
Computer Science, Information Systems
Yali Gong, Huan Xie, Yanmin Jin, Xiaohua Tong
Summary: This study proposes the use of spatio-temporal stratified sampling to evaluate thematic mappings with respect to temporal changes and spatial clustering, and an optimization algorithm is used to determine sample sizes for different strata. Results show that this method leads to the smallest bias in accuracy estimation compared to conventional sample allocation methods.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Geography, Physical
Hamid Ebrahimy, Babak Mirbagheri, Ali Akbar Matkan, Mohsen Azadbakht
Summary: This study proposed a random forest-based approach for predicting per-pixel land cover accuracy of remote sensing images, showing good performance in various settings. The method establishes a nonlinear relationship between accuracy and spectral bands, and outperforms benchmark methods in all experimental sites.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Studies
Dingfan Xing, Stephen V. Stehman, Giles M. Foody, Bruce W. Pengra
Summary: The study compares agreement between area estimates obtained from simple averaging (SA) and latent class modeling (LCM). Results indicate that the LCM area estimates for wetland and three change types show significant differences compared to SA, with LCM typically estimating higher percentages for these rare classes.
Article
Remote Sensing
Linda Aune-Lundberg, Geir-Harald Strand
Summary: The comparison between the CORINE Land Cover dataset for Norway for the reference year 2018 and detailed national land cover and land use data showed that in general, the classification complied with the definitions, but discrepancies were found in detailed and marginal classes. Using classification based on statistical profiles can improve the accuracy of the classification.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Studies
Thi-Thu Vu, Yuan Shen
Summary: Significant changes in land use and cover have occurred in Dong Trieu district from 2000 to 2019, with a decrease in barren land and an increase in built-up areas and orchards. Factors such as geography, population density, and distance from main roads have influenced the changes in different land types.
Article
Agronomy
Yulong Zhang, Conghe Song, Taehee Hwang, Kimberly Novick, John W. Coulston, James Vose, Matthew P. Dannenberg, Christopher R. Hakkenberg, Jiafu Mao, Curtis E. Woodcock
Summary: Land cover change (LCC) is a dynamic aspect of global environmental change with uncertain impacts on carbon budgets, and a study focusing on the conterminous United States found that LCC had a significant negative effect on Gross Primary Production (GPP) due to forest loss and urban expansion, partially offset by increases in crop area.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Pengfei Chen, Huabing Huang, Wenzhong Shi, Rui Chen
Summary: This study proposes a triple collocation approach to estimate the accuracy of global land cover (GLC) data without requiring reference data. The method is demonstrated on WorldCover 2020 using over 15 million sample points extracted from remote sensing images and Google Earth Engine. The results show the feasibility of estimating GLC accuracy using existing land information and remote sensing data.
Article
Environmental Sciences
Geir-Harald Strand
Summary: The Copernicus high-resolution layer imperviousness density (HRL IMD) is a raster with a resolution of 10 meters, showing the extent of soil sealing in Europe. The imperviousness of each pixel is determined through semi-automated classification of remote sensing imagery and calibrated NDVI. The assessment of the product using ground truth samples showed high overall accuracy, although there was an underestimation of the sealed area in Norway. Point sampling within pixels proved to be a suitable method for verification of remote sensing products, but it is vulnerable to inaccuracies due to geometric inconsistency and mistaken interpretation of the ground truth.
Article
Environmental Sciences
Henrique Haas, Furkan Dosdogru, Latif Kalin, Haw Yen
Summary: This study evaluated the impacts of land use/cover data on hydrological responses of the Upper Cahaba River watershed and found that models based on different sources of LULC can achieve similar performance in predicting streamflow but significant differences in hydrological regimes and ERF metrics may exist.
Article
Biodiversity Conservation
J. Wickham, A. Neale, K. Riitters, M. Nash, J. Dewitz, S. Jin, M. van Fossen, D. Rosenbaum
Summary: Hotter, more frequent and longer droughts, extensive pest outbreaks, and frequent and severe fires have raised concerns about the recovery of forests in the western United States. A study estimates that approximately 3470 km2 of disturbed forest may not return to its original state. Fire is identified as the main disturbance agent, with climate factors also playing a role. Limited seed sources hinder forest recovery.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Han Zhai, Chaoqun Lv, Wanzeng Liu, Chao Yang, Dasheng Fan, Zikun Wang, Qingfeng Guan
Summary: This study reveals that Wuhan has undergone rapid urbanization since the early 21st century, showing a typical urbanization process with significant internal imbalances between administrative districts. Future predictions suggest that Wuhan will continue to develop towards the southeast, with the urban center shifting from the northwest to the southeast of Jiang'an district.
Article
Environmental Studies
Valentin Ouedraogo, Kwame Oppong Hackman, Michael Thiel, Jaiye Dukiya
Summary: Ouagadougou and Bobo-Dioulasso, the major urban centers in Burkina Faso, are experiencing increasing human footprint as a result of rapid urbanization. This research used intensity analysis to analyze the dynamics of land use/land cover (LULC) in the two cities between 2003 and 2021. Satellite data from Landsat 5, Landsat 7, and Landsat 8 were used for supervised image classifications using algorithms like Random Forest, Support Vector Machine, and Gradient Tree Boost. The results showed significant changes in the landscape, with Ouagadougou experiencing more rapid changes. The study highlights the importance of sustainable urban land use planning due to the increasing human footprint and its potential environmental threats.
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)