Article
Environmental Sciences
Yuxuan Wu, Yi Xi, Maoyuan Feng, Shushi Peng
Summary: Wetlands play a critical role in global hydrological and biogeochemical cycles and have different temperature regulation effects in various regions and seasons. Wetlands have a cooling effect in tropical regions and a warming effect in boreal regions. In addition to albedo and evapotranspiration, ground heat flux is also an important factor influencing wetland temperature.
Article
Agronomy
Guanghui Yuan, Wenhui Tang, Erchen Li, Lei Zhang, Yubao Liu
Summary: To assess the impacts of afforestation on land surface temperature in China, this study compared adjacent forest and open land using ten years of satellite data. The results showed that afforestation leads to daytime cooling and nighttime warming in most regions, attributed to changes in evapotranspiration and albedo. The cooling effects of evapotranspiration dominate the daytime differences in temperature, while the nighttime warming effects are related to the release of stored energy in the soil. Evergreen broadleaf forest and deciduous broadleaf forest are recommended for afforestation in the south and north of the Yangtze River respectively to decrease land surface temperature.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Jie Wang, Xiangming Xiao, Jeffrey Basara, Xiaocui Wu, Rajen Bajgain, Yuanwei Qin, Russell B. Doughty, Berrien Moore
Summary: The study analyzed the impact of woody plant encroachment (WPE) on land surface temperature, albedo, and evapotranspiration, finding that WPE leads to a decrease in daytime land surface temperature and albedo, while increasing nighttime land surface temperature and evapotranspiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Caijin Zhang, Di Long, Yucui Zhang, Martha C. Anderson, William P. Kustas, Yang Yang
Summary: Daily continuous ET estimates at 1 km resolution were successfully obtained across the North China Plain using a data fusion approach and the Two-Source Energy Balance model. The estimated LE and ET data showed good agreement with in situ measurements, capturing seasonal variations and temporal trends effectively.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Energy & Fuels
Mercedeh Taheri, Abdolmajid Mohammadian, Fatemeh Ganji, Mostafa Bigdeli, Mohsen Nasseri
Summary: This review provides a clear and comprehensive classification of energy-based approaches considering the role of land surface temperature (LST) in solving the energy budget. Three general approaches using LSTs derived from climate and land surface models, satellite-based data, and energy balance closure are presented. The concepts, inputs, and assumptions of energy-based LSMs and SEB algorithms are discussed in detail, along with the limitations and challenges of these approaches.
Article
Engineering, Civil
Masoud Derakhshandeh, Mustafa Tombul
Summary: Efficient tools for estimating water loss through evapotranspiration are crucial for water resources management. The integration of high resolution spatial imagery in well-tuned models like METRIC shows potential for accurate evapotranspiration rate estimations. It is important to calibrate the model with various spatial data sources and incorporate new empirical correlations for improved accuracy.
WATER RESOURCES MANAGEMENT
(2022)
Article
Environmental Sciences
Martha C. Anderson, Yang Yang, Jie Xue, Kyle R. Knipper, Yun Yang, Feng Gao, Chris R. Hain, William P. Kustas, Kerry Cawse-Nicholson, Glynn Hulley, Joshua B. Fisher, Joseph G. Alfieri, Tilden P. Meyers, John Prueger, Dennis D. Baldocchi, Camilo Rey-Sanchez
Summary: This study explores the combination of Landsat and ECOSTRESS imaging for high-resolution ET image timeseries, demonstrating the value of ECOSTRESS's higher temporal sampling and discussing challenges in using land-surface temperature for ET retrieval.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Jizeng Du, Shaojing Jiang, Baoshan Cui, Guocan Wu, Hongxi Liu
Summary: Terrestrial vegetation plays a crucial role in modulating land-atmosphere dynamics and can have both cooling and warming effects on land surface temperatures. Using satellite measurements, this study found that vegetation has a net cooling effect in China, reducing land surface temperatures by up to 2.18 degrees C. The spatial pattern of vegetation's net effect is primarily driven by evapotranspiration and albedo, and it is sensitive to changes in solar radiation and snow cover.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
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
Environmental Sciences
Ivonne Trebs, Kaniska Mallick, Nishan Bhattarai, Mauro Sulis, Jamie Cleverly, William Woodgate, Richard Silberstein, Nina Hinko-Najera, Jason Beringer, Wayne S. Meyer, Zhongbo Su, Gilles Boulet
Summary: This study investigates the impact of aerodynamic resistance (r(a)) and its relation to land surface temperature (LST) uncertainties on the performance of three different surface energy balance (SEB) models in water-limited ecosystems. The results show that the models tend to overestimate latent heat flux (LE) due to underestimation of sensible heat (H), with discrepancies in r(a) retrievals playing a major role in causing this overestimation. On the other hand, LST differences have a minor influence on the estimation of LE.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geography, Physical
Zefeng Xing, Zhao-Liang Li, Si-Bo Duan, Xiangyang Liu, Xiaopo Zheng, Pei Leng, Maofang Gao, Xia Zhang, Guofei Shang
Summary: This study proposes a practical method to estimate daily mean land surface temperature (LST) using MODIS-derived instantaneous LST products, with reliable results validated through in situ measurements. The method is successfully applied to calculate global annual cycle parameters and shows potential for various applications in global LST trend analysis and climate change.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Yazhen Jiang, Ronglin Tang, Zhao-Liang Li
Summary: This study proposed a framework for correcting the angular effect of remotely sensed LST on ET estimation, which significantly improved the accuracy of ET estimations through adjusting directional reflectance and estimating temperatures.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Jianhong Zhou, Kun Yang, Jianzhi Dong, Long Zhao, Huihui Feng, Mijun Zou, Hui Lu, Ronglin Tang, Yaozhi Jiang, Wade T. Crow
Summary: Imperfect land physics in land surface models (LSMs) introduce uncertainty and bias in the representation of land-atmosphere coupling (rho), which degrades the accuracy of lower atmosphere forecasts. This study investigates the potential of two remote sensing (RS)-based references for addressing LSM rho bias. Results show that calibrating LSM using ET-represented rho reference data outperforms using dT-represented rho reference data in ET and dT modeling, due to confounding impacts and uncertainties. Both ET and dT-represented rho references have the potential for diagnosing and understanding LSM rho bias.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Ruimin Liu, Lijun Jiao, Yue Liu, Yue Wang
Summary: This study used the Surface Energy Balance System model to investigate the spatial distribution and influencing factors of evapotranspiration in Beijing. The results showed that land surface temperature and Normalized Difference Vegetation Index are the main factors affecting evapotranspiration, and the spatial distribution pattern of variables has a significant impact on the correlation analysis results.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Hamid Dashti, William K. Smith, Xueli Huo, Andrew M. Fox, Mostafa Javadian, Charles J. Devine, Ali Behrangi, David J. P. Moore
Summary: The Arctic and Boreal Region (ABR) undergoes extensive land cover change (LCC) due to factors such as wildfire, permafrost thaw, and shrubification. These LCCs alter important biophysical variables including land surface temperature (LST), albedo, and evapotranspiration (ET), which have a significant impact on the warming trend over the ABR. The sensitivity of these variables to different types of LCC in heterogeneous systems like ABR remains uncertain.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
B. D. Vishwakarma, P. Bates, N. Sneeuw, R. M. Westaway, J. L. Bamber
Summary: Monitoring changes in freshwater availability is crucial for human society and sustainable economic development. Linear trends in total water storage (TWS) are often computed to identify regions experiencing changes, but they can only be interpreted in a meaningful way after accounting for natural spatiotemporal variability in TWS. A novel metric, trend to variability ratio (TVR), is developed to assess the severity of TWS trends observed by GRACE, providing a more informative assessment of water storage change. This study reveals that regions facing severe water storage depletion and unprecedented loss in hydrological catchments, affecting over 3.2 billion people, can benefit from improved water resource management.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Multidisciplinary Sciences
Meha Jain, Ram Fishman, Pinki Mondal, Gillian L. Galford, Nishan Bhattarai, Shahid Naeem, Upmanu Lall, Balwinder-Singh, Ruth S. DeFries
Summary: Groundwater depletion poses a global threat to food security, but its impact on agricultural production and effectiveness of adaptation strategies are still poorly quantified. Current trends suggest a significant decrease in cropping intensity, even with supply-side strategies like increasing surface irrigation. Additional adaptation measures will be crucial to maintain current production levels in the face of groundwater depletion.
Article
Environmental Sciences
Preeti Rao, Weiqi Zhou, Nishan Bhattarai, Amit K. Srivastava, Balwinder Singh, Shishpal Poonia, David B. Lobell, Meha Jain
Summary: This study demonstrates the potential of high-resolution imagery such as Sentinel-1, Sentinel-2, and PlanetScope in accurately mapping crop types in smallholder farming systems in India. The integration of all three sensors in a trained SVM model led to the highest classification accuracy, with the inclusion of Planet data being particularly beneficial for classifying crop types in the smallest farms.
Article
Multidisciplinary Sciences
Bramha Dutt Vishwakarma, Jinwei Zhang, Nico Sneeuw
Summary: This study implemented a statistical downscaling approach to assimilate various hydrological datasets with GRACE data to improve the spatial resolution of TWSC. The results can be utilized for regional hydrological applications.
Article
Environmental Sciences
Nishan Bhattarai, Adrienne Pollack, David B. Lobell, Ram Fishman, Balwinder Singh, Aaditya Dar, Meha Jain
Summary: India relies on groundwater irrigation to produce staple grain crops, but overexploitation of aquifers has negative impacts on crop production, especially for wheat, rice, and maize in the winter season. Eliminating energy subsidies for groundwater pumping may not change farmers' crop choice, but could encourage the adoption of increased water conservation efforts.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Geochemistry & Geophysics
Bramha Dutt Vishwakarma, Martin Horwath, Andreas Groh, Jonathan L. Bamber
Summary: The Gravity Recovery and Climate Experiment (GRACE) measures gravitational potential anomalies that include the effects of present-day surface mass change (PDSMC) and glacial isostatic adjustment (GIA) on the solid Earth mass redistribution. However, different models for GIA can lead to different estimates for PDSMC in GRACE observations, highlighting the need for consistent treatment of GIA signals in these observations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Agronomy
Nishan Bhattarai, Guido D'Urso, William P. Kustas, N. Bambach-Ortiz, Martha Anderson, Andrew J. McElrone, Kyle R. Knipper, Feng Gao, Maria M. Alsina, Mahyar Aboutalebi, Lynn Mckee, Joseph G. Alfieri, John H. Prueger, Oscar R. Belfiore
Summary: This study evaluated the applicability of the SW-S2 model in different climate gradients in California and assessed the impact of modeling domain and meteorological inputs on model outputs. The results showed that the size of the modeling domain had minimal influence on model performance, while the source and quality of meteorological data had a significant impact on model outputs. The study also suggested local bias correction as a method to improve model performance.
IRRIGATION SCIENCE
(2022)
Editorial Material
Environmental Sciences
Nishan Bhattarai, Pradeep Wagle
Summary: Evapotranspiration is crucial in understanding ecosystem responses to global environmental change, but quantifying and mapping its distribution remains a challenge. Remote sensing-based ET models have been instrumental in managing water resources and understanding land-atmosphere interactions, yet they face challenges such as limited applicability and scarcity of calibration and validation datasets.
Article
Thermodynamics
Guangyue Xu, Haoyun Dong, Zhenci Xu, Nishan Bhattarai
Summary: This study examines the future trajectory of China's carbon neutrality goal under different scenarios of economic development quality using the environmental Kuznets curve model and scenario analysis. The results indicate that significant improvements in economic development quality are necessary to achieve the carbon neutrality target.
Article
Geochemistry & Geophysics
Bramha Dutt Vishwakarma, Yann Ziegler, Jonathan L. Bamber, Sam Royston
Summary: The visco-elastic response of the solid Earth to glacial cycles and surface mass change can be detected using geodetic observation systems. In order to better understand current surface mass change driven by climate change, it is necessary to consider the glacial isostatic adjustment (GIA) signal. A new framework is proposed that uses geophysical relations to estimate data-driven GIA solutions, which differ significantly from traditional forward models in certain regions.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Yann Ziegler, Bramha Dutt Vishwakarma, Aoibheann Brady, Stephen Chuter, Sam Royston, Richard M. Westaway, Jonathan L. Bamber
Summary: We investigate the separation of glacial isostatic adjustment (GIA) and the hydrological cycle using GRACE and GPS observations. Our method, using a Bayesian hierarchical modelling framework, successfully estimates the contributions of each component based on the differences in their spatio-temporal characteristics.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Agronomy
Sambandh Dhal, Briana M. Wyatt, Shikhadri Mahanta, Nishan Bhattarai, Sadikshya Sharma, Tapas Rout, Pradip Saud, Bharat Sharma Acharya
Summary: Climate change, land degradation, and limited resources have posed challenges to meeting food demand. Modern agriculture is utilizing IoT and associated technologies to improve productivity. This paper provides a comprehensive review of IoT platforms, wireless sensor networks, and other technologies in digital agriculture, discussing interoperability and opportunities for collaborative research.
Article
Multidisciplinary Sciences
Nishan Bhattarai, David B. Lobell, Balwinder-Singh, Ram Fishman, William P. Kustas, Yadu Pokhrel, Meha Jain
Summary: Climate change is expected to increase crop water demand, leading to more irrigation. A study in India, a groundwater depletion hotspot, reveals that farmers have intensified groundwater withdrawals to adapt to warming temperatures, resulting in accelerated depletion rates. Even with projected increases in precipitation and possible decreases in irrigation use, the rates of net groundwater loss for the coming decades could be three times the current depletion rates, posing a threat to India's food and water security.
Review
Water Resources
Bramha Dutt Vishwakarma, R. A. A. J. Ramsankaran, Mohd. Farooq Azam, Tobias Bolch, Arindan Mandal, Smriti Srivastava, Pankaj Kumar, Rakesh Sahu, Perumal Jayaraman Navinkumar, Srinivasa Rao Tanniru, Aaquib Javed, Mohd Soheb, A. P. Dimri, Mohit Yadav, Balaji Devaraju, Pennan Chinnasamy, Manne Janga Reddy, Geetha Priya Murugesan, Manohar Arora, Sharad K. Jain, C. S. P. Ojha, Stephan Harrison, Jonathan Bamber
Summary: The Himalaya is crucial for regulating freshwater availability for nearly a billion people. However, due to lack of data and collaboration, our understanding of the region's hydrological cycle and water availability is limited, resulting in significant uncertainties for current and future water resources.
FRONTIERS IN WATER
(2022)
Article
Geosciences, Multidisciplinary
Fanny Lehmann, Bramha Dutt Vishwakarma, Jonathan Bamber
Summary: The study attempts to close the global water budget at the catchment scale using precipitation, evapotranspiration, and runoff data. Results show that the reconstructed terrestrial water storage (TWS) changes from the water balance equation are more accurate than the GRACE data. The performance of different datasets varies in different climatic zones, indicating that the optimal combination of datasets depends on climatic conditions and other factors.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(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)