Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

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Insights from 30 Years of Land Use/Land Cover Transitions in Jakarta, Indonesia, via Intensity Analysis

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 545 - 545

Published: April 19, 2024

Here, we assess land use/land cover (LULC) transitions over the last 30 years in Jakarta, Indonesia. Land maps were prepared for 1990, 1995, 2000, 2005, 2010, 2015, and 2020 using seven categories of Landsat satellite image: bare land, built-up, cropland, green area, mangrove, water body, pond. LULC changes assessed through intensity analyses at interval transition levels. initially rapid (1990–1995) then more gradual (1995–2000, 2000–2005, 2005–2010). Unlike previous intervals, annual uniformly distributed time 2010–2015 2015–2020. Driven by high population economic growth, built-up was identified as an active gainer all intervals except 2010–2015. Alongside areas, cropland main supplier other categories, including pond, areas. The largest area occurred pond areas during 2005–2010 High demand observed driven growth triggered necessity. Economic exhibited a positive correlation (R2 = 0.78, t 9.996). This study elucidates spatiotemporal patterns rapidly growing city.

Language: Английский

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Land use and RSEI spatial-temporal changes in Horqin Sandland (Inner Mongolia, China)

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Evolution and Spatiotemporal Response of Ecological Environment Quality to Human Activities and Climate: Case Study of Hunan Province, China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2380 - 2380

Published: June 28, 2024

Human beings are facing increasingly serious threats to the ecological environment with industrial development and urban expansion. The changes in environmental quality (EEQ) their driving factors attracting increased attention. As such, simple effective monitoring processes must be developed help protect environment. Based on RSEI, we improved data dimensionality reduction method using coefficient of variation method, constructing RSEI-v Landsat MODIS data. RSEI-v, quantitatively monitored characteristics EEQ Hunan Province, China, its spatiotemporal response human activities climate factors. results show following: (1) RSEI perform similarly characterizing quality. calculated is a positive indicator EEQ, but not. (2) high values concentrated eastern western mountainous areas, whereas low central plains. (3) A total 49.40% area was experiencing substantial areas significant decreases (accounting for 2.42% area) were vicinity various cities, especially Changsha–Zhuzhou–Xiangtan agglomeration. increases 16.97% forests. (4) decreases, accounting more than 60% area, mainly affected by activities. surrounding Changsha Hengyang experienced noteworthy EEQ. where precipitation temperature areas. This study provides valuable reference protection.

Language: Английский

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Quantitatively exploring the influence of geographical conditions on ecological quality using a novel remote sensing model: a comparison between two geographical disparity regions in China

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: July 24, 2024

The ecological quality of a region is significantly influenced by its geographical conditions, which can yield different effects on ecosystems. Nevertheless, the lack adequate technology has impeded quantitative investigations into these differences. Consequently, there an increasing demand for effective techniques to quantitatively measure differences in resulting from variations conditions. This study applied novel Remote Sensing-based Ecological Index (RSEI) concurrently two distinct provincial-level regions China, Fujian and Ningxia, detect their These possess contrasting with having high forest coverage abundant rainfall, while Ningxia features low extensive loess plateau desert terrain. By linking factors corresponding responses, we conducted comprehensive analysis determine whether conditions between had caused significant disparities status. results indicate that have indeed led marked differences, exhibiting excellent status, lags behind due unfavorable In terms RSEI scores, consistently achieved higher values (>0.8) years, reaching level, whereas recorded scores lower than 0.45 during comparable poor moderate level. Regarding impact positive contributions greenness wetness indicators ecology were greater those (58% vs. 39%), negative indicators, dryness hotness, notably compared (|–61|% |–42|%). successful concurrent application geographically distant also demonstrates robustness technique.

Language: Английский

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Utilization of setinel-1 imagery for inundation flood mapping in Northern Part of Java Island

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1438(1), P. 012045 - 012045

Published: Jan. 1, 2025

Abstract The Northern part of Java Island is the center community activities in Indonesia. Urban centers are located along Part Java, such as DKI Jakarta, Cirebon City, Tegal, Semarang, and Surabaya. As a urban activity, has relatively high threat inundation flood. flat topography most these cities river deltas or upstream large rivers, causing flooding to be coupled with climate change increased hydrometeorological disasters. government conducted various disaster management reduction efforts, well NGOs community. This study utilized remote sensing technology for flood identification mapping from backscatter threshold value Sentinel-1 data indicating water. used reference determining each scene sentinel-1 imagery. result showed that northern an hazard inundated area 380,23 Km 2 . distribution areas several provinces West 235,57 , then central 85,95 holds second place, East 34,66 Banten 22,28 Jakarta 1,77 Based on result, use imagery effective due ease obtaining simple processing detect inundation.

Language: Английский

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Impact of urbanization on carbon emissions and ecological quality in the Semarang Metropolitan Region, Indonesia

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(6)

Published: May 6, 2025

Language: Английский

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Multilayer optimized deep learning model to analyze spectral indices for predicting the condition of rice blast disease

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 101394 - 101394

Published: Nov. 1, 2024

Language: Английский

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The evaluation of Spatial Planning for Flood Disasters using Sentinel-1 Satellite Imagery (Case Study: Central Java Province)

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1418(1), P. 012050 - 012050

Published: Dec. 1, 2024

Abstract Flood disasters are an aspect of spatial planning. The current flood data is in the form tabular and point locations. Meanwhile, maps inundation or areas not widely available. Utilization Sentinel-1 imagery can be used for mapping. analysis results from previous research show that image processing depict a region. This aims to evaluate planning Central Java Province against disasters. location this focused on north coast province (PANTURA). method map floods using Change Detection Thresholding (CDAT) method. evaluating with overlay study all districts PANTURA experienced 2017 2024. Pati Regency district highest area. Demak fastest increase Land Use Plan Provincial RTRW most extensive fisheries cultivation area vulnerability agricultural area, namely increased by 800 hectares over 6 years. Based results, it recommended revised include vulnerable inundation.

Language: Английский

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