Article
Environmental Sciences
Muhittin Karaman
Summary: This study compared the performance of global automatic thresholding algorithms on shoreline determination in Lake Salda using Sentinel-2 and Landsat-8 satellite images atmospherically corrected by different algorithms. The results showed that the NDWI index produced more accurate results in both satellite images, with different algorithms yielding varying optimal threshold values.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Subhanil Guha, Himanshu Govil
Summary: The study found significant correlations between land surface temperature and remote sensing indices in Raipur City, with the relationship between LST and NDBI being the most consistent.
GEOCARTO INTERNATIONAL
(2022)
Article
Green & Sustainable Science & Technology
B. Anand, R. Shanmathi Rekha, K. R. Remitha, V. Maniyammai, K. Ramaswamy, Sneha Gautam
Summary: This study used remote sensing techniques to identify and systematically monitor the water spread regions of 11 lakes in a region over a span of 32 years (1990-2022). The results showed significant differences in rainfall statistics over the years, and the study also examined other indices to validate the findings. The study highlights the importance of policy decisions for future planning and sustainable development of water bodies, as well as rehabilitation measures for irrigation tanks and agrarian stability in urban locales.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Xingguang Yan, Jing Li, Di Yang, Jiwei Li, Tianyue Ma, Yiting Su, Jiahao Shao, Rui Zhang
Summary: With the growth of cloud computing, the use of the Google Earth Engine platform for research based on Landsat images has become increasingly popular. This study focuses on the NDWI and MNDWI of the Yucatan Peninsula coastline from 1993 to 2021. The results show that the restored Landsat images provide improved results for studying water bodies and have a high correlation with Sentinel-2 data.
Article
Environmental Sciences
Reda Amer
Summary: This study investigated the spatial relationship between low-quality irrigation water and waterlogging in arid and semiarid environments in the western Nile Delta, Egypt, using multi-decadal Landsat images and hydrochemical water analysis. The results demonstrated a significant spatial relationship between waterlogging and soil salinity, resulting from long-term irrigation with high salinity groundwater, which led to soil salinity increase, low permeability, and waterlogging. The study offered a time- and cost-efficient geospatial method for regional monitoring of waterlogging and provided mitigation strategies for cropland degradation and agricultural drainage water recycling.
Article
Multidisciplinary Sciences
Gonzalo Mateo-Garcia, Josh Veitch-Michaelis, Cormac Purcell, Nicolas Longepe, Simon Reid, Alice Anlind, Fredrik Bruhn, James Parr, Pierre Philippe Mathieu
Summary: Cognitive cloud computing in space enables new applications in observing our planet and deep space exploration, with machine learning payloads playing a key role. This research demonstrates a ML payload called 'WorldFloods' deployed in a satellite that can extract flood information from sensed images, and can be updated and run on the satellite.
SCIENTIFIC REPORTS
(2023)
Article
Geosciences, Multidisciplinary
Claudiu-Valeriu Angearu, Irina Ontel, Anisoara Irimescu, Burcea Sorin, Emma Dodd
Summary: This study analyzed remote sensing methods for detecting and assessing hailstorm damage on agricultural crops. The results showed that satellite data can be used to validate surface-based weather reports and weather radar-derived products.
Article
Multidisciplinary Sciences
Anjar Dimara Sakti, Emenda Sembiring, Pitri Rohayani, Kamal Nur Fauzan, Tania Septi Anggraini, Cokro Santoso, Vinka Aprilla Patricia, Kalingga Titon Nur Ihsan, Attar Hikmahtiar Ramadan, Sanjiwana Arjasakusuma, Danang Surya Candra
Summary: Plastic waste monitoring technology based on Earth observation satellites is being developed to improve accuracy in monitoring plastic waste in river areas. This study uses the adjusted plastic index and Sentinel-2 satellite imagery data to identify illegal dumping in a specific river area. The results of plastic waste image classification based on Pleiades satellite imagery and UAV photogrammetry show that the API successfully improves the accuracy of identifying plastic waste.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Arash Modaresi Rad, Jason Kreitler, Mojtaba Sadegh
Summary: This study provides a critical review of satellite remote sensing water indices and introduces a novel Augmented Normalized Difference Water Index (ANDWI) that utilizes an expanded set of spectral bands and dynamic thresholding. The ANDWI with Otsu-thresholding outperformed other indices in terms of overall accuracy. Additionally, a new cloud filtering algorithm and a Google Earth Engine App were developed to improve the accuracy and efficiency of water body delineation.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Hafiza Wajiha Khalid, Rao M. Zahid Khali, Muhammad Ateeq Qureshi
Summary: Waterbody extraction using various spectral indices in high-elevated regions like the Tibetan Plateau showed that LBWEI index has higher accuracy in all weather conditions compared to other techniques, providing a valuable tool for quick evaluation in cryospheric regions and baseline information for algorithm developments.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
(2021)
Article
Environmental Sciences
Hideyuki Niwa
Summary: This study utilizes high-resolution images and data from sensors mounted on UAVs to understand the distribution and habitat of disturbance-dependent species in wetlands, presenting a new method for UAV monitoring.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Multidisciplinary Sciences
Osman Salih Yilmaz, Fatih Gulgen, Fusun Balik Sanli, Ali Murat Ates
Summary: This study investigates the appropriate algorithm and water index for determining dam water surface boundaries using remote sensing techniques. The boundaries of Demirkopru Dam are determined using Sentinel-2 L2A (MSI) and Landsat-8 (OLI) satellite images. The RF algorithm achieves the highest accuracy of 80.3% in classifying the water surface, and it also performs better than other algorithms according to the comparison with CORS-TR measurements.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Elena Petrovna Yankovich, Ksenia Stanislavovna Yankovich, Nikolay Viktorovich Baranovskiy
Summary: The vegetation cover in urban agglomerations is rapidly changing due to technogenic influence. Satellite images are used to study forest vegetation dynamics, and a unique program code has been developed to analyze Landsat satellite data in the previously unexplored territory of the Tomsk agglomeration. A Python algorithm was implemented to quantify changes in vegetation using Landsat multispectral data, and the tool was applied to study the dynamics of vegetation in the Tomsk urban agglomeration from 1990 to 2022.
Article
Ecology
Gathot Winarso, Mohammad Syamsu Rosid, Muhammad Kamal, Wikanti Asriningrum, Chris Margules, Jatna Supriatna
Summary: This study evaluates the deterioration of the environmental quality of mangrove ecosystems and compares the performance of Mangrove Index (MI) and Normalized Difference Vegetation Index (NDVI) in different areas. The study finds that MI is able to detect small degraded mangrove areas.
ECOLOGICAL ENGINEERING
(2023)
Article
Environmental Sciences
Susanta Das, Samanpreet Kaur, Antarpreet Jutla
Summary: The study quantified the impact of COVID-19 lockdown on water quality in the Buddha Nala creek in Ludhiana, India using Sentinel-2A data. Water quality parameters showed improvement during the lockdown period, with increased values of NDVI, NDWI, NDCI, and NI, and decreased values of NDTI and TSM, indicating positive changes in aquatic ecology. The findings demonstrate the effectiveness of using earth observation and remote sensing data to monitor water quality in regions where traditional surveillance methods are costly.
Article
Computer Science, Information Systems
Nimisha Wagle, Tri Dev Acharya
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Imaging Science & Photographic Technology
Ran Pang, He Huang, Tri Dev Acharya
JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
(2020)
Article
Environmental Sciences
Venkatesh Kolluru, Srinivas Kolluru, Nimisha Wagle, Tri Dev Acharya
Article
Instruments & Instrumentation
K. C. Aman, Tri Dev Acharya, Nimisha Wagle, Dong Ha Lee
Summary: This study explores the impact of climate variability on the phenology of vegetation in Chitwan National Park of Nepal using satellite remote sensing data and ground observations. The onset of greenness and maturity has been delayed over the years, while the growing season has fluctuated due to variations in senescence onset. Precipitation is positively correlated with NDVI, while temperature shows a negative correlation with NDVI, with rainfall one month earlier being a better predictor of NDVI variability.
SENSORS AND MATERIALS
(2021)
Article
Computer Science, Information Systems
K. C. Aman, Nimisha Wagle, Tri Dev Acharya
Summary: This study mapped land cover changes in Rupandehi District of Nepal from 2005 to 2020 using Landsat imagery and the Random Forest classifier on the Google Earth Engine platform. The research found that built-up areas had been increasing and more concentrated between two major cities, while other categories showed fluctuations or decreasing trends. The paper discusses the issues of land cover changes in developing regions and their impact on ecosystems.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Sciences
Binh Thai Pham, Dong Van Dao, Tri Dev Acharya, Tran Van Phong, Romulus Costache, Hiep Van Le, Hanh Bich Thi Nguyen, Indra Prakash
Summary: This study utilized chi-square and backward elimination methods to select optimal input features for training an artificial neural network model, with performance evaluated using various metrics. The results indicated that the BE model outperformed in accurately predicting landslide-prone areas.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Computer Science, Information Systems
Tengfei Yu, He Huang, Nana Jiang, Tri Dev Acharya
Summary: A new method is used to evaluate the accuracy of lane lines in high-definition maps, showing that it provides more detailed and relevant results than traditional methods, with implications for quality control in HDM production.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Sciences
Shalik Ram Dhital, Catherine Chojenta, Tiffany-Jane Evans, Tri Dev Acharya, Deborah Loxton
Summary: This study aims to estimate and identify the prevalence and correlation of household levels of water, sanitation, and hygiene (WASH) in Nepal. The findings show that education, wealth, and geography are significantly associated with WASH. Furthermore, there are disparities in the prevalence of improved WASH facilities among different regions in Nepal.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Review
Environmental Sciences
K. C. Shanker, Tri Dev Acharya
Summary: This paper reviews the past and present geodetic activities in Nepal and presents the traditional datum and modern satellite geodesy works. It discusses future directions to establish modern reference systems and frames to meet the demand for precise positional accuracy from users and stakeholders.
Article
Water Resources
Sharannya Thalli Mani, Venkatesh Kolluru, Mahesha Amai, Tri Dev Acharya
Summary: The study developed a hybrid model integrating process-based hydrological model and data-driven techniques to generate accurate streamflow simulations in the Varahi River region of India. Two approaches were formulated for simulating streamflow ensembles using different models, and an optimization-based nudging scheme was proposed to overcome limitations. The study provides new insights into the region's hydrological conditions and predicts a decrease in water availability and an increase in water scarcity. The results have implications for agriculture, ecosystems, and water management in the region.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Remote Sensing
Lizhong Qu, Luping Wang, Tri Dev Acharya, Yiwei Du, Haoyu Wang, Wei Jiang
Summary: Automatic driving has created a great demand for global instantaneous high-precision precise point positioning (PPP). This article proposes a new approach using multi-constellation and multi-frequency wide-lane ambiguity resolution (PPP-WAR) to achieve global single-epoch narrow-lane (NL) ambiguity resolution. Experimental results show that increasing the frequency leads to significantly improved instant positioning accuracies, which is beneficial for global autonomous driving vehicles.
Article
Computer Science, Information Systems
Gaurav Parajuli, Shankar Neupane, Sandeep Kunwar, Ramesh Adhikari, Tri Dev Acharya
Summary: Floods are a frequent and devastating disaster in Nepal. This study provides a comprehensive mapping of flood susceptibility and evacuation routes in the Siraha Municipality of Nepal, utilizing GIS and AHP. The study identifies areas highly susceptible to floods and selects assembly points for evacuation within those areas. Emergency shelters are chosen in safe zones to accommodate a maximum number of people. The study also proposes optimal evacuation routes based on walking speed and analyzes possible areas for additional shelter placement. It can be valuable for flood risk assessment, early warning system planning, and efficient evacuation planning.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Computer Science, Information Systems
Minmeng Tang, Tri Dev Acharya, Deb A. Niemeier
Summary: This study integrated a land use model with four machine learning models to estimate traffic-related black carbon (BC) concentrations in Oakland, CA. The best-performing model, Random Forest, showed good accuracy in estimating BC concentrations. However, this approach was inefficient at identifying hyperlocal hotspots, especially in a complex urban environment where significant emission sources like highways and truck routes exist.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Agronomy
Bijay Regmi, Samir Kunwar, Tri Dev Acharya, Purushottam Gyawali
Summary: Nutrition, food security and livelihoods in Nepal are being negatively impacted by climate change, exacerbating existing issues of malnutrition, hunger and rural poverty. This study explores six underutilized food crops in four mountainous districts of Karnali province to determine their potential for improving nutrition and food security. The findings indicate that these underutilized crops play a vital role in the diets and livelihoods of the people in Karnali, highlighting their significance in addressing nutrition and food insecurity in regions with inadequate food supply and marginal lands. Promoting the cultivation and consumption of these crops can create a more sustainable and diverse food system that is resilient to climate change, though further investigation is needed.
Article
Construction & Building Technology
Han Chang, Yaolong Hou, Inhee Lee, Tianye Liu, Tri Dev Acharya
Summary: This research explores methods to improve energy performance in rural houses in Xi'an, China, focusing on designing a nearly zero-energy building (nZEB). The study models a typical rural house, proposes passive design strategies, and examines refurbishment strategies for existing houses. The integration of a photovoltaic (PV) system and storage battery successfully reduces the annual energy demand and meets the Chinese nZEB standard. The study demonstrates the effectiveness of these methods for designing nZEBs in rural areas.