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
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
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
Environmental Sciences
Jiawei Hui, Zanxu Chen, Baoying Ye, Chu Shi, Zhongke Bai
Summary: This study used remote sensing data to monitor the vegetation of the Xilin Gol grassland in arid areas and studied the degree of influence of climatic conditions and human activities, particularly mining activities, on grassland vegetation. The results showed that precipitation is an important factor affecting grassland vegetation, and human activities, especially coal mining, have caused degradation of the vegetation to some extent. Additionally, economic factors also have a significant impact on vegetation changes.
Article
Environmental Sciences
Sajeesh Viswambharan, Indu Tarur Kumaramkandath, Javaid Ahmad Tali
Summary: This study provides detailed information on calculating soil moisture index, normalized difference moisture index, and normalized difference water index using Landsat 7 ETM+ and Landsat 8 OLI data, and examines their spatial and temporal changes in Palakkad District. The study finds a negative correlation between land surface temperature and normalized difference vegetation index, as well as a negative correlation between soil moisture index and land surface temperature. The results show significant variations in soil moisture and vegetation water content in the study area.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Environmental Sciences
Xiaoqing Tan, Siqiong Luo, Hongmei Li, Xiaohua Hao, Jingyuan Wang, Qingxue Dong, Zihang Chen
Summary: This study investigated the relationship between snow cover, vegetation, and soil temperature using remote sensing indicators. The results showed a negative correlation between annual snow cover duration and soil temperature, but a positive correlation between annual NDVI and soil temperature. Changes in snow cover and vegetation in the Three River Source Region were observed, affecting the local soil temperatures differently.
Article
Geosciences, Multidisciplinary
Ying Liu, Qingyan Meng, Linlin Zhang, Chaoyang Wu
Summary: Bare soil, as a component of Earth's land surface, serves as an important indicator of urbanization and plays an irreplaceable role in regional ecosystems. This study developed a new soil index, NDBSI, by analyzing the spectral characteristics of various soil types, and found its effectiveness in mapping bare soil, especially in distinguishing it from impervious surface. NDBSI also showed good performance in identifying bare soil on red brick, which is widely used as roofing material in industrial urban areas.
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
Sabyaschi Kabiraj, Elanchezhiyan Duraisekaran, Malarvizhi Ramaswamy
Summary: This study used remote sensing and Land Degradation Index to investigate land degradation in West Bengal, India. The results indicate an increase in industrial area, higher land surface temperature, declining vegetation, and decreased evapotranspiration over the past 30 years. Mining was identified as one of the major factors contributing to local environmental degradation.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Environmental Sciences
J. M. Ramirez-Cuesta, M. Minacapilli, A. Motisi, S. Consoli, D. S. Intrigliolo, D. Vanella
Summary: The study examines how different MODIS NDVI seasonal parameters respond to land processes in Europe over the 2000-2018 period. It found that the maximum seasonal NDVI parameter best characterized most land processes. This information can be valuable for policymakers in implementing land management actions associated with sustainable development goals.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Ali Muslim Amiri, Filiz Dadaser-Celik
Summary: This study aims to determine the spatial and temporal changes in land surface temperature (LST) in Develi Basin, Turkey, where land use/cover and climatic conditions have experienced considerable variability since the 1980s. The results indicate that Develi Basin has undergone spatial and temporal land use/cover changes, and changes in LST have been useful for evaluating land use/cover changes and climatic variations in agricultural basins.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Information Systems
Auwalu Faisal Koko, Wu Yue, Ghali Abdullahi Abubakar, Akram Ahmed Noman Alabsi, Roknisadeh Hamed
Summary: The rapid urbanization in cities has led to significant land use/land cover changes, impacting the climate and environment. This study in Abuja, Nigeria, analyzed the relationship between LULC changes and surface urban heat islands (UHI) using Multi-temporal Landsat data over 29 years. The results showed a considerable urban expansion and increase in mean land surface temperature (LST), indicating a direct link between urban expansion, vegetation decrease, and the development of surface UHI.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Green & Sustainable Science & Technology
Yongguang Hu, Ali Raza, Neyha Rubab Syed, Siham Acharki, Ram L. Ray, Sajjad Hussain, Hossein Dehghanisanij, Muhammad Zubair, Ahmed Elbeltagi
Summary: Land use/land cover changes in Southern Punjab province of Pakistan have resulted in significant changes to settlements, forests, and barren land. Forest cover decreased by 31.03% over a 20-year period, while settlements and barren land increased by 14.52% and 12.87% respectively. Proper monitoring and land management are necessary to address these changes.
Article
Multidisciplinary Sciences
Waheed Ullah, Khalid Ahmad, Siddique Ullah, Adnan Ahmad Tahir, Muhammad Faisal Javed, Abdul Nazir, Arshad Mehmood Abbasi, Mubashir Aziz, Abdullah Mohamed
Summary: This study explored the relationship between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover (LULC) types with topographic elements in the lower Himalayan region of Pakistan. The results showed that LST varied with elevation and slope direction. Built-up areas and bare soil had the highest mean LST, while NDVI increased with an increase in elevation.
Article
Environmental Sciences
Rajman Gupta, Mani Sharma, Garima Singh, Rajendra Kr Joshi
Summary: Urban heat islands are intensifying in major cities in India due to urbanization and loss of vegetation. Mitigating this phenomenon requires a better understanding of the associated biophysical processes. Using satellite data and spatial metrics, this study examines the impact of urbanization on land surface temperature (LST) in Shimla and Dehradun, the capital cities of the Western Himalayan states. The results show an increase in built-up areas, NDBI, and LST, and a reduction in NDVI and NDWI. Temperature hotspots are mainly located in urban areas, followed by vegetation and water bodies. There is a significant correlation between LST and biophysical parameters. The study highlights the feasibility of estimating LST, NDVI, NDBI, and NDWI accurately, which can inform policy interventions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Remote Sensing
Yingbin Deng, Changshan Wu, Xin Zhang, Xiuping Jia
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Engineering, Civil
Bahram Khazaei, Sina Khatami, Seyed Hamed Alemohammad, Lida Rashidi, Changshan Wu, Kaveh Madani, Zahra Kalantari, Georgia Destouni, Amir Aghakouchak
JOURNAL OF HYDROLOGY
(2019)
Article
Geography, Physical
Yingbin Deng, Changshan Wu
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2019)
Article
Chemistry, Analytical
Yuannan Long, Shixiong Yan, Changbo Jiang, Changshan Wu, Rong Tang, Shixiong Hu
Article
Chemistry, Analytical
Guoyin Cai, Huiqun Ren, Liuzhong Yang, Ning Zhang, Mingyi Du, Changshan Wu
Article
Environmental Sciences
Yingbin Deng, Renrong Chen, Changshan Wu
Article
Environmental Sciences
Yuannan Long, Rong Tang, Changshan Wu, Changbo Jiang, Shixiong Hu
Article
Geography, Physical
Shuang Zhao, Xiangnan Liu, Chao Ding, Shuyuan Liu, Changshan Wu, Ling Wu
GISCIENCE & REMOTE SENSING
(2020)
Article
Engineering, Electrical & Electronic
Wei Fan, Changshan Wu, Jin Wang
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2019)
Article
Forestry
Haijian Liu, Changshan Wu
Article
Green & Sustainable Science & Technology
Wenyu Wang, Mryka Hall-Beyer, Changshan Wu, Weihua Fang, Walter Nsengiyumva
Article
Public, Environmental & Occupational Health
Wei Xu, Changshan Wu, Jason Fletcher
Article
Environmental Sciences
Xiaodong Na, Xingmei Li, Wenliang Li, Changshan Wu
Summary: An adaptive sparse constrained least squares linear spectral mixture model was proposed to map wetland vegetation communities with improved unmixing accuracies. The model showed significantly better performance compared to traditional methods when using HJ-1A/B hyperspectral images.
Article
Environmental Sciences
Haijian Liu, Pinliang Dong, Changshan Wu, Pin Wang, Meihong Fang
Summary: The study developed a new method CCHP for detecting individual tree positions using LiDAR data, demonstrating advantages in identifying trees in mixed forests. CCHP successfully identified 97% of trees in the simulated forest and showed higher accuracy compared to other methods.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Xiao Zhang, Liangyun Liu, Changshan Wu, Xidong Chen, Yuan Gao, Shuai Xie, Bing Zhang
EARTH SYSTEM SCIENCE DATA
(2020)