Article
Environmental Sciences
Toshpulot F. Rajabov, R. Douglas Ramsey, Bakhtiyor K. Mardonov, Muhtor G. Nasirov, Tashkhanim Rakhimova, Shuhrat A. Valiev
Summary: This study compares the potential of different vegetation indices (VIs) in monitoring changes in rangeland ecosystems in Uzbekistan. The results indicate that the response of VIs is similar when using multi-season and multi-year vegetation data, but there is variability when using data from different seasons and years.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Samuel Shumack, Adrian Fisher, Paul P. Hesse
Summary: Medium resolution satellite-derived fractional cover estimates provide a powerful means to study arid ecosystem dynamics. This study in Australia's vegetated dunefields observed vegetation growth response to rainfall 'pulses', multiple time scales of antecedent climatic influence, dune susceptibility to wind-blown sand drift, and implications of image resolution choice. The new AZN model yielded favorable results and highlighted the importance of Landsat resolutions or better for estimating cover in dune crest regions.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Chandra Holifield Collins, Susan Skirvin, Mark Kautz, Zachary Winston, Dustin Curley, Andrew Corrales, Andrew Bishop, Nadine Bishop, Cynthia Norton, Guillermo Ponce-Campos, Gerardo Armendariz, Loretta Metz, Philip Heilman, Willem van Leeuwen
Summary: Rangelands in the western United States are facing an increasing problem of woody plant cover, which negatively affects wildlife habitat, grazing forage, and soil health. To address this issue, researchers have developed RaBET, a remote sensing-based tool that accurately maps woody canopy cover. RaBET outperformed two existing tools based on advanced machine learning techniques. By utilizing traditional field methods and aircraft-based photography for map validation, RaBET assists land managers and conservationists in effectively controlling woody plants on rangelands.
Article
Environmental Sciences
Chris D. Hasselerharm, Esty Yanco, Jeannine S. McManus, Bool H. Smuts, Daniel Ramp
Summary: By using remote tracking methods to detect vegetation and environmental changes on rangeland farms in South Africa, it was found that wildlife-friendly farming practices had higher vegetation productivity, stronger response to rainfall, and greater vegetation cover and grass cover compared to rotational grazing practices. This study highlights the potential benefits of adopting wildlife-friendly farming practices in rangeland ecosystems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
O. Bruzzone, M. H. Easdale
Summary: This study focuses on the temporal dynamics of vegetation using remote sensing data and time series analysis, identifying different patterns based on climate and spatial features. By analyzing archetypes of vegetation temporal dynamics, the research reveals the influence of climate and topography on temporal patterns in different ecosystems.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Alimohammad Mohammadi Kharaji, Seyed Alireza Mousavi, Saeid Soltani Koupaei, Gholam Hossein Kiani
Summary: Over-grazing in rangelands leads to a decline in non-forage functions, ignoring the incurred externality costs. The cost-benefit analysis of livestock grazing enterprise and regulation services of 18 vegetation types are conducted. Results show that the third condition lacks economic justification, highlighting the importance of externalities in rangeland enterprises. Negative externality effects per animal unit in over-stocked vegetation types signify the need for correction in rangeland utilization process.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Bibek Acharya, Vivek Sharma
Summary: The study compared four remote sensing models for quantifying and mapping ETc in the semi-arid to arid inter-mountain region of Big Horn Basin, Wyoming, and found that METRIC performed the best across all land cover types, followed by SEBS, S-SEBI, and SEBAL. All SEB models generally overestimated ETc and underestimated sensible heat fluxes under dry conditions.
Article
Development Studies
Javad Motamedi, Hossein Azadi, Ahmad Alijanpour, Abbas Banj Shafiei, Esmaeil Sheidai-Karkaj, Morteza Mofidi-Chelan, Saghi Movahhed Moghaddam, Steven Van Passel, Frank Witlox
Summary: This study assessed the economic indices of exploiting byproduct production in Shahindej, Northwest Iran, highlighting the importance of recognizing byproducts and their economic appraisal in documenting rangeland use prospects. The findings showed that by-product exploitation significantly contributes to the local economy, employment, and reduces grazing intensity, emphasizing the need to consider by-product earnings in range management schemes and comprehensive natural-area management.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Remote Sensing
Jiali Liu, Jianrong Fan, Chao Yang, Fubao Xu, Xiyu Zhang
Summary: The empirical retrieval method based on vegetation indices (VIs) is widely used for estimating vegetation cover, but has limitations. By utilizing the red edge bands on the Sentinel-2 satellite, new indices were developed to improve estimation accuracy. Through field observations and simulations, it was found that the new red edge indices can effectively estimate both photosynthetic and non-photosynthetic vegetation cover at different growth stages.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Agriculture, Multidisciplinary
Michael Swoish, Jose F. Da Cunha Leme Filho, Mark S. Reiter, James B. Campbell, Wade E. Thomason
Summary: This study demonstrates the effectiveness of satellite imagery in estimating cover crop biomass in fields with diverse species composition. Increasing spatial resolution and satellite imaging frequency can improve biomass estimation accuracy. Satellites accurately predicted cover crop biomass, providing a cost-effective alternative to in-field sampling. Different satellites and vegetation indices varied in performance, but each satellite had at least one index that performed well.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Review
Environmental Sciences
Raid Almalki, Mehdi Khaki, Patricia M. Saco, Jose F. Rodriguez
Summary: Vegetation cover change is an important indicator for monitoring environmental quality, especially in arid and semi-arid regions. Remote sensing data can be used to monitor and map vegetation cover changes, and their accuracy can be improved by combining them with ground truth data. Additionally, ancillary data can help detect vegetation cover changes at the species level.
Article
Geosciences, Multidisciplinary
Haroun Chenchouni, Souad Neffar
Summary: The assessment of soil organic carbon stock is crucial for the adoption of adequate management strategies for the sustainable development of steppelands and rangelands in North Africa. This study estimated the soil organic carbon stock in soils rehabilitated by prickly pear plantations and analyzed the effects of edaphic factors on its variation. The results showed that soil organic carbon stock varied significantly with soil depth, management type, and soil factors.
Article
Environmental Sciences
Linda Riquelme, David H. Duncan, Libby Rumpff, Peter Anton Vesk
Summary: Monitoring ground layer biomass is crucial for managing large herbivore populations. In the semi-arid woodlands of south-eastern Australia, we explored the use of satellite-derived vegetation indices to estimate understorey biomass. However, the empirical relationships were not transferable to new sites. Including other variables and additional landscape-scale data can improve model performance.
Article
Geosciences, Multidisciplinary
Sonia Boudjabi, Haroun Chenchouni
Summary: Soil fertility in semi-arid steppe rangelands is influenced by vegetation cover, climatic conditions, and soil-specific factors. This study investigated the variability of soil physicochemical parameters and fertility in three types of semi-arid steppe rangelands in North Africa. The results showed that the soil physicochemical parameters significantly affected the soil fertility and stoichiometric C:P ratio in these rangelands.
Article
Environmental Sciences
Ernesto Sanz, Juan Jose Martin Sotoca, Antonio Saa-Requejo, Carlos H. Diaz-Ambrona, Margarita Ruiz-Ramos, Alfredo Rodriguez, Ana M. Tarquis
Summary: Rangeland ecosystems are essential for ecosystem services and human livelihoods. This study demonstrates the importance of using detrended fluctuation analysis to calculate the Hurst exponent in vegetation time series for improved rangeland classification. The results highlight the usefulness of this approach for studying rangeland dynamics and management.
Article
Environmental Sciences
Linyi Li, Yun Chen, Tingbao Xu, Lingkui Meng, Chang Huang, Kaifang Shi
Article
Geosciences, Multidisciplinary
Xiaodong Zhang, Jia Yu, Yun Chen, Jiahong Wen, Jiayan Chen, Zhan'e Yin
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
(2020)
Article
Engineering, Geological
Lin Zhu, Huili Gong, Yun Chen, Shufang Wang, Yinhai Ke, Gaoxuan Guo, Xiaojuan Li, Beibei Chen, Haigang Wang, Pietro Teatini
ENGINEERING GEOLOGY
(2020)
Article
Environmental Sciences
Beibei Chen, Huili Gong, Yun Chen, Xiaojuan Li, Chaofan Zhou, Kunchao Lei, Lin Zhu, Li Duan, Xiaoxiao Zhao
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Yun Chen, Juan Guerschman, Yuri Shendryk, Dave Henry, Matthew Tom Harrison
Summary: This study successfully developed a sequential neural network model for estimating pasture biomass in five dairy farms in northern Tasmania, Australia, using high-resolution imagery and advanced machine learning techniques, resulting in a relatively high prediction accuracy. The research also revealed the impact of in situ measurements, pasture management, and grazing practices on the model's predictions on different farms.
Article
Remote Sensing
Beibei Chen, Huili Gong, Yun Chen, Kunchao Lei, Chaofan Zhou, Yuan Si, Xiaojuan Li, Yun Pan, Mingliang Gao
Summary: This study developed a new time series fusion method to analyze subsidence along the Beijing-Tianjin High Speed Railway, revealing the relationship between subsidence and its causes. The new fusion method proposed improved the accuracy and reliability of subsidence time series, extending the time span of subsidence monitoring.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Adilai Wufu, Yun Chen, Shengtian Yang, Hezhen Lou, Pengfei Wang, Chaojun Li, Juan Wang, Ligang Ma
Summary: The study calculated river discharge using UAV technology and field data, along with remote sensing images to estimate long-term discharge in ungauged regions of the Tianshan Mountains. It found that glacial meltwater-dominated river sections showed a decrease in monthly discharge by 2.46%, while precipitation-dominated river sections showed an increase by 2.27% on average during the study period.
Article
Green & Sustainable Science & Technology
Shokhrukh-Mirzo Jalilov, Yun Chen, Nguyen Hong Quang, Minh Nguyen Nguyen, Ben Leighton, Matt Paget, Neil Lazarow
Summary: With rapid urbanization, there is a disproportion between urban area growth and population growth, leading to challenges in sustainable planning and development. The study in Ha Long, Vietnam, found that land-use efficiency increased from 2000 to 2020 despite positive but small metrics before 2000. This approach can be applied to analyze urban development impacts at regional and district levels.
Article
Engineering, Civil
Juan P. Guerschman, Tim R. McVicar, Jamie Vleeshower, Thomas G. Van Niel, Jorge L. Pena-Arancibia, Yun Chen
Summary: In this study, we calibrated and applied the CMRSET model to estimate actual evapotranspiration (ETa) at a continental scale in Australia using a combination of optical remote sensing and meteorological data. The calibrated model showed good performance in estimating ETa at flux towers and compared favorably to other global ETa products. CMRSET provides a straightforward and efficient method for estimating ETa at various spatial and temporal scales.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Adilai Wufu, Shengtian Yang, Yun Chen, Hezhen Lou, Chaojun Li, Ligang Ma
Summary: The Pamir Plateau is a crucial water resource area for over 60 million people in Central Asia, with glaciers being a major source of water supply. Research shows a decreasing trend in glacier area and river discharge in the plateau, indicating significant impacts of climate change.
Article
Multidisciplinary Sciences
Haichang Yang, Weiye Chen, Yun Chen, Fenghua Zhang, Xiaohu Yang
Summary: This study showed that the combination of shallow subsurface pipe drainage and drip irrigation under plastic mulch in an arid region of China effectively reduced soil salinity, leading to increased crop yields. The desalinization rate was significant, with 51% and 91% on mildly and moderately salinized farmlands, respectively. The findings suggest that this method has the potential to improve soil quality and crop productivity in salinized farmlands.
Article
Green & Sustainable Science & Technology
Fei Zhang, Yun Chen, Weiwei Wang, Chi Yung Jim, Zhimin Zhang, Mou Leong Tan, Changjiang Liu, Ngai Weng Chan, Di Wang, Zheng Wang, Haliza Abdul Rahman
Summary: The study revealed high concentrations of total phosphorus and total nitrogen in the middle and lower reaches of the Jing River Watershed, with noticeable spatial variations in water quality. Intense human activities have exacerbated water quality deterioration in this area, while changes in land use types and landscape metrics have notable impacts on seasonal water quality. Key landscape metrics such as patch cohesion index, patch density, and interspersion juxtaposition index were found to be critical factors in predicting water-quality changes at the small-watershed scale.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Yujiao Wei, Lin Zhu, Yun Chen, Xinyu Cao, Huilin Yu
Summary: This study combined different resolution vegetation index data to investigate the spatiotemporal characteristics of vegetation and drought in Inner Mongolia over the past 38 years. The results showed that grasslands had a stronger response to drought compared to forests.
Article
Multidisciplinary Sciences
Yun Chen, David Penton, Fazlul Karim, Santosh M. Aryal, Shahriar Wahid, Peter Taylor, Susan Cuddy
Summary: Over the past four decades, droughts have had a severe impact on Afghanistan, resulting in critical food shortages for two-thirds of the population. Conflict and a lack of preparedness have made it challenging to respond effectively to droughts, which can quickly escalate into disasters. This study used the SPEI to map the spatiotemporal dynamics of drought characteristics in Afghanistan and found significant variations in drought severity, duration, and frequency across different regions and time periods.
Article
Agricultural Engineering
Fei Zhang, Yun Chen, Jie Yuan, Ligang Ma, Changjiang Liu
Summary: The study found that the red edge is the best indicator for evaluating plant growth, and the growth status of plants is not significantly affected when the salt content is below 10 g/kg. However, plant growth begins to be stressed when the salt content increases to 20 g/kg, which is a turning point for plant health. 40 g/kg of salt content could be regarded as the critical point that inhibits plant growth.
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING
(2021)
