Article
Environmental Sciences
Fen Chen, Tim van de Voorde, Dar Roberts, Haojie Zhao, Jingbo Chen
Summary: This communication discusses the limitations and risks of a commonly used method for detecting ground materials, which relies on setting thresholds for normalized difference indices. The authors critically analyze this method and present experimental results on various spectral libraries and satellite images. They highlight the risk of commission errors and provide suggestions for reducing them.
Article
Environmental Sciences
Dawei Xu, Cong Wang, Jin Chen, Miaogen Shen, Beibei Shen, Ruirui Yan, Zhenwang Li, Arnon Karnieli, Jiquan Chen, Yuchun Yan, Xu Wang, Baorui Chen, Dameng Yin, Xiaoping Xin
Summary: The study evaluated the AGB estimation model using the normalized difference phenology index (NDPI) and found it to be superior in model robustness, spatial, and temporal scalability, making it advantageous for monitoring AGB in large grasslands with significant spatial-temporal heterogeneity.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Biodiversity Conservation
Dechao Zhai, Xizhang Gao, Baolin Li, Yecheng Yuan, Ying Li, Wei Liu, Jie Xu
Summary: The ecological responses of vegetation to climatic variables along a spatial gradient can guide predictions for chronic ecosystem response under global climate change. The study assessed the chronic responses of aboveground net primary productivity (ANPP) to climate factors in the Three-river Headwaters region using the geographical detectors model, remote sensing images, and precipitation and temperature datasets. The results showed that precipitation was the dominant driver for alpine meadows and steppes, while temperature had a greater impact on alpine steppes. Grasslands demonstrated different responses to climate factors at different developmental stages, with precipitation during specific stages influencing ANPP variations. An increase in temperature combined with no significant change in precipitation may decrease ANPP in alpine meadows but result in alpine shrub expansion, posing challenges to grassland management.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
P. Praseartkul, K. Taota, P. Pipatsitee, R. Tisarum, K. Sakulleerungroj, T. Sotesaritkul, S. K. Himanshu, A. Datta, S. Cha-um
Summary: This study successfully estimated the aboveground and belowground traits of turmeric plants using a UAV platform, and verified the superior genotypes based on curcuminoids yield.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Sajjad Hussain, Muhammad Mubeen, Ashfaq Ahmad, Hamid Majeed, Saeed Ahmad Qaisrani, Hafiz Mohkum Hammad, Muhammad Amjad, Iftikhar Ahmad, Shah Fahad, Naveed Ahmad, Wajid Nasim
Summary: This research examines the impact of changes in land use/land cover on land surface temperature (LST) in Southern Punjab, Pakistan, using remote sensing data. The study finds that the expansion of buildings and conversion of vegetation land into commercial and residential areas has accelerated the increase of LST. The study also shows a negative correlation between NDVI and NDWI with lower LST, and a positive correlation between NDBI and higher LST.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Liyuan Yuan, Yongchao Gao, Fangyan Cheng, Jianhua Du, Zhen Hu, Xiaodong Yang, Hui Wang, Xue Kong, Zhaoyang Fu, Wei Wang, Luchun Duan, Yanju Liu, Ravi Naidu
Summary: This study explores the impact of oil exploitation on vegetation through field investigation and remote sensing image analysis. The study found that crude oil leakage has a negative effect on plant growth and quantity, and different species have different tolerance to crude oil. The study also found that high-resolution remote sensing images can accurately identify aboveground objects and have a high correlation with field investigation results.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Environmental Sciences
Wenxu Cao, Hang Xu, Zhiqiang Zhang
Summary: Global climate change has a profound impact on vegetation growth patterns. However, regional climate characteristics tend to weaken the disparities in vegetation responses observed in large-scale studies. Additionally, different vegetation types exhibit distinct reactions to climate variability, making it challenging to detect and attribute changes in vegetation growth. This study used the normalized difference vegetation index (NDVI) dataset to investigate the spatiotemporal distribution and dynamic characteristics of climate change effects on vegetation growth from 2000 to 2020. The findings revealed a continuous greening trend, with precipitation identified as the dominant climatic factor influencing this trend. Continued warming, however, has led to a slowdown in vegetation growth. Solar radiation was also found to correspond to the vegetation trend. These findings highlight the nonlinearity of long-term vegetation growth trends with climate variation and provide valuable insights into forecasting vegetation responses to future climate change.
Article
Environmental Sciences
Ilknur Zeren Cetin, Tugrul Varol, Halil Baris Ozel, Hakan Sevik
Summary: Economic and industrial development have led to population concentration in cities, resulting in the urban heat island effect. This study analyzed the changes in the urban heat island effect in the central district of Bartin over the past 30 years and found increases in urban surfaces and land surface temperatures, as well as a decline in vegetation. The results emphasized the importance of increasing open and green areas to mitigate the negative effects of the urban heat island.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Aakash Thapa, Teerayut Horanont, Bipul Neupane
Summary: This paper studies various methods to verify farmers' claims for compensation, including analyzing images using NDVI and NDWI, analyzing SAR images using CART, and analyzing mobile photos using CNN. The results of the experiments show that the SAR-based method performs the best in flood and drought detection in terms of accuracy and reliability.
Article
Environmental Sciences
Sadia Ismail, Muhammad Farooq Ahmed, Muhammad Zubair Abu Bakar
Summary: This study focuses on the impact of urbanization on the water quality index in Lahore city using remote sensing and geographical information systems. The results show a significant decline in groundwater quality over 17 years, with an increase in built-up area and poor water quality areas. The linear regression model indicates a positive correlation between urbanization and water quality index, and a negative correlation with vegetation areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agriculture, Multidisciplinary
Ana Paula Pereira Carvalho, Reinaldo Lorandi, Eduardo Goulart Collares, Jose Augusto Di Lollo, Luiz Eduardo Moschini
Summary: The study used satellite imagery and irrigation technology to analyze the potential water demand in the agricultural sector of two pairs of hydrographic sub-basins in a specific region of Brazil. The results showed differences in water demand due to different crop types and regional extensions.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Environmental Sciences
Chuan Li, Iman Rousta, Haraldur Olafsson, Hao Zhang
Summary: Coastal and lakeside settlements, which are heavily populated, are at immediate risk due to climate change and human activities. This study analyzed the water changes in Chao Lake over the past 30 years using time-series images and water indices. The results showed an increase in each estimated indicator's value over time, with the largest fluctuations observed in winter and the smallest in fall. The study also found a strong correlation between the estimated factors, particularly between GNDVI and NDTI. The findings can contribute to environmental planning and efforts to reduce water pollution and environmental hazards in Chao Lake and other water regions.
Article
Environmental Sciences
Wenjing Yang, Yong Zhao, Qingming Wang, Buliao Guan
Summary: This study explores the impact of natural, biogeochemical, and anthropogenic factors on vegetation greenness changes in the Haihe River Basin in China. The results indicate a significant increase in vegetation greenness in the majority of counties, with CO2 and human activities being the major contributing factors. Additionally, afforestation is a pronounced driving force for vegetation greenness changes, particularly in mountainous areas.
Article
Environmental Sciences
Chiwei Xiao, Peng Li, Zhiming Feng, Yumei Lin, Zhen You, Yanzhao Yang
Summary: The study presented a phenology-based method for mapping rubber plantations and validated it in Xishuangbanna. With support from phenological algorithm and meteorological data, the resultant rubber plantation map achieved a high overall accuracy of 92.3%, enriching remote sensing-based approaches for mapping rubber plantations.
GEOCARTO INTERNATIONAL
(2021)
Review
Environmental Sciences
Nv-Wei Cao, Hao-Yue Zhou, Yu-Jie Du, Xian-Bao Li, Xiu-Jie Chu, Bao-Zhu Li
Summary: This study aimed to determine the association between greenness and allergic rhinitis (AR) in children and adolescents through systematic review and meta-analysis. The overall effect of greenness on AR was not significant. Various exposure measures and data conversion may affect the results of this analysis. Future well-designed prospective studies are needed for a more precise assessment of greenness exposure.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Fisheries
Sandip Giri, Abhra Chanda, Sourav Maity, Kunal Chakraborty, Sugata Hazra
Summary: This study investigates the impact of tide and lunar phases on the migration pattern of juvenile Hilsa shad. The results show that the number of juveniles is higher during low tides and during new moon and full moon phases.
JOURNAL OF FISH BIOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Anirban Akhand, Abhra Chanda, Yusuf Jameel, Rajarshi Dasgupta
Summary: This study collated data on the Indian blue carbon repository and found substantial carbon stock in the blue carbon ecosystems of India. However, there are contradictions in estimates for salt marshes, while the spatial extent of mangroves and seagrasses is relatively well-documented. The study also highlighted the economic benefits of green payments and the social cost associated with carbon sequestration.
SUSTAINABILITY SCIENCE
(2023)
Review
Environmental Sciences
Yamini Bhat, Subrata Nandy, Hitendra Padalia, Arun Jyoti Nath, Rocky Pebam
Summary: This systematic review examines the use of remote sensing technology in studying shifting cultivation in India. The majority of studies focus on mapping and monitoring shifting cultivation areas. Geospatial technology has the potential to explore spatio-temporal variations, secondary vegetation growth, and impacts on the environment.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2022)
Article
Ecology
Ritika Srinet, Subrata Nandy, N. R. Patel, Hitendra Padalia, Taibanganba Watham, Sanjeev K. Singh, Prakash Chauhan
Summary: This study simulated forest carbon fluxes in two major plant functional types in the northwest Himalayan foothills of India using remote sensing data and Biome-BGC model. The study found that integrating remote sensing data into the calibrated process-based model increased the accuracy of model-simulated forest carbon fluxes.
ECOLOGICAL MODELLING
(2023)
Article
Environmental Sciences
S. V. Pasha, V. K. Dadhwal, C. S. Reddy
Summary: The present study focuses on the spread of rubber monoculture in the state of Tripura in the northeast region of India during the past three decades. Using Earth observation data and additional cues, the study found that the area under rubber cultivation in Tripura increased from 0.3% in 1990 to 8.9% in 2021. The implications of this transformation for the natural landscape, biodiversity, and carbon pool assessment are discussed.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Shes Kanta Bhandari, Subrata Nandy
Summary: The present study aimed to predict forest aboveground biomass (AGB) by integrating Terrestrial Laser Scanning (TLS) data, satellite data-derived Forest Canopy Density (FCD), and spectral indices. TLS data were used to collect point cloud data from different FCD classes, and the derived diameter at breast height (dbh) and height of individual trees were validated with field measurements. A linear function was established to estimate AGB based on TLS-derived dbh and height, FCD classes, and spectral indices. The study emphasized the effectiveness of combining TLS and satellite data-derived FCD and spectral indices in accurately predicting forest AGB.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Emilie Cremin, Jack O'Connor, Sumana Banerjee, Ly Ha Bui, Abhra Chanda, Hieu Hong Hua, Da Van Huynh, Hue Le, Sonia Binte Murshed, Salehin Mashfiqus, Anh Vu, Zita Sebesvari, Andy Large, Fabrice G. G. Renaud
Summary: River deltas globally are highly exposed and vulnerable to natural hazards and are often overexploited. The Global Delta Risk Index (GDRI) was developed to assess multi-hazard risk in river deltas and support decision-making in risk reduction interventions in delta regions. This research aims at aligning the GDRI indicators with the SDGs and the SFDRR to improve sustainability and resilience of Asian mega-deltas.
SUSTAINABILITY SCIENCE
(2023)
Article
Environmental Sciences
Divesh Pangtey, Hitendra Padalia, Rahul Bodh, Ishwari Datt Rai, Subrata Nandy
Summary: Global decline in biodiversity requires systematic monitoring. This study assessed the performance of Rao's Q index derived from multi-date Sentinel-2 NDVI in estimating tree diversity in seasonal tropical forests. The approach showed good correlation with tree diversity, especially during the leaf flushing period.
GEOCARTO INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Sumana Banerjee, Abhra Chanda, Tuhin Ghosh, Emilie Cremin, Fabrice G. Renaud
Summary: In the Indian Sundarban, the multiplicity of natural hazards, exposure, and vulnerability poses serious threats to lives and livelihoods. This study used the impact chain tool to understand the complex interactions and risks caused by these factors. Analyses of both quantitative and qualitative data revealed that tropical cyclones, rainfall variability, and storms were the dominant hazards affecting social-ecological vulnerability. Processes such as male migration, uncertain agricultural income, and a lack of hazard-resistant housing further exacerbated social vulnerability. Fundamental threats such as embankment breaching, land and water salinization, land loss due to erosion, mangrove degradation, land conversion, and groundwater abstraction could lead to a loss of sustainable livelihoods if left unaddressed.
Article
Environmental Sciences
S. V. Pasha, V. K. Dadhwal
Summary: Rubber is a rapidly expanding plantation crop in India and Southeast Asia. This study estimates the aboveground biomass and carbon stock of natural rubber plantations in Tripura, India and finds that the total carbon stored is 2.8 Tg. The expansion of rubber plantations has led to a loss of natural vegetation and standing pools.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Y. Bhat, M. K. Kripa, V. K. Dadhwal
Summary: This study validated the ESA-CCI 2018 and 2010, as well as Santoro-2010 datasets, using a database of field measurements in India. The results demonstrated that these products exhibited saturation and underestimated the AGB when compared with national forest inventory results. Therefore, it is recommended to expand the Indian datasets and update the global datasets with Indian observations through new data integration approaches.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Review
Biology
Abhra Chanda, Anirban Akhand
Summary: This study reviewed the factors causing a decline in the blue carbon content of the Sundarban and proposed challenges in enhancing its carbon stock. The study identified recurrent tropical cyclones, soil erosion, freshwater scarcity, reduced sediment load, nutrient deficiency, mangrove clearing, and anthropogenic pollution as fundamental drivers for the reduction in blue carbon stock. The study also provided key recommendations to sustain the blue carbon stock of the Indian Sundarban.
Article
Environmental Sciences
Neha Singh, Subrata Nandy, L. M. van Leeuwen
Summary: This study successfully mapped the tree aboveground carbon stock of sal forests in the Doon valley, India using OBIA and WorldView-2 satellite imagery. Different techniques for improving the spatial resolution of the imagery were evaluated, and the high pass filter resolution merge technique was found to be the most effective. The study also demonstrated the relationship between tree crown projection area (CPA) and diameter at breast height, as well as CPA and tree carbon. The average forest carbon density in the study area was determined to be 108 Mg ha(-1). The study highlights the efficiency of using OBIA with very high resolution satellite imagery and field inventory to quantify and map tree carbon stock.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
