Assessment of land use land cover changes in Loktak Lake in Indo-Burma Biodiversity Hotspot using geospatial techniques

Kangabam, Rajiv Das; Selvaraj, Muthu; Govindaraju, M.

doi:10.1016/j.ejrs.2018.04.005

Cited by 19 publications

(15 citation statements)

References 26 publications

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“…This is slowly destroying the ecosystem of phumdis. Phumdis decompose faster due to eutrophication induced by the amplified use of pesticides and fertilizers in surrounding agricultural and horticultural farms (Kangabam et al., 2019). Thus, the heightened algal bloom in response to these chemicals contributes to formaldehyde (HCHO) emission upon decomposition.…”

Section: Discussionmentioning

confidence: 99%

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Gupta,

Shukla,

Shukla

2024

Earth and Space Science

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Imphal Valley, situated in Manipur, India, stands as an intermontane valley of great ecological significance, notably hosting Loktak Lake. This research delves into the Land Use Land Cover Change (LULCC) within the Imphal Valley from 2016 to 2021 and assesses their impact on air quality across distinct land cover types. We used Sentinel‐1 & 2 data, ALOS PALSAR Digital Elevation Model, and applied Random Forest (RF), a machine learning algorithm for effective land use and land cover (LULC) mapping. Additionally, Sentinel‐5P data was utilized to monitor air quality parameters (CO, HCHO, NO2, SO2, Aerosol Index) spanning 2019 to 2021. The overall accuracies for the LULC maps employing a k (k = 3) fold approach for accuracy assessment varied between 88% and 92%, with corresponding Kappa coefficient ranging from 0.85 to 0.90. Noteworthy trends emerged from our analysis, revealing an increase in settlements and horticulture farms and a decline in forested areas and phumdis (floating biomass). Our findings highlight a mean concentration of CO ranging between 0.045 mol/m2 and 0.055 mol/m2 in different land cover types during February and March (2019–2021). Furthermore, we observed maximum mean HCHO, NO2, SO2, and aerosol index concentrations in March. Pollution levels surged during forest fires and shifting agriculture seasons, while aerosol levels declined during the lockdown period. This integrated approach emphasized on the comprehensive analysis of the dynamic interplay between LULCC and air quality in the Imphal Valley. This intricate relationship between LULC changes and air quality dynamics in the Imphal Valley, contribute to our understanding of the environmental dynamics in this ecologically vital region.

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Section: Discussionmentioning

confidence: 99%

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Gupta,

Shukla,

Shukla

2024

Earth and Space Science

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“…With the equalized stratified random sampling approach, a total of 150 points were generated randomly for each class. This approach randomly divides the point population determined for accuracy analysis into sub-groups homogeneously [46,47]. It is ensured that the sample size of each class or region of interest (ROI) is the same.…”

Section: Findings and Discussionmentioning

confidence: 99%

Monitoring of marble quarries expansion and land cover changes using satellite images and GIS on a rural settlement of Burdur province, Turkey

Tercan¹,

Dereli̇²

2021

El-Cezeri Fen Ve Mühendislik Dergisi

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This study was actualized in Karamanlı district of Burdur province in order to draw attention to the increase in the surface areas of marble quarries and to monitor the changes of land cover types during the period from 1995 to 2020. Geographic information system tools and supervised maximum likelihood classification approach provided a methodological basis for this study. Landsat satellite images used in this study were

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“…Kiage and Douglas [60] also applied MNDWI and NDVI, and found that MNDWI provides more reliable results compared to NDVI; in our methodology, we used MNDWI to identify water surfaces and NDVI was used to calculate biomass. However, further comparison with the similarities or differences of other authors' findings is difficult, as studies dealing with lakes and wetlands are usually performed at the catchment level, or larger areas, and aim to reveal change in land cover categories and its consequences [71][72][73].…”

Section: Discussionmentioning

confidence: 99%

NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes—Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades

et al. 2020

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Observing wetland areas and monitoring changes are crucial to understand hydrological and ecological processes. Sedimentation-induced vegetation spread is a typical process in the succession of lakes endangering these habitats. We aimed to survey the tendencies of vegetation spread of a Hungarian lake using satellite images, and to develop a method to identify the areas of risk. Accordingly, we performed a 33-year long vegetation spread monitoring survey. We used the Normalized Difference Vegetation Index (NDVI) and the Modified Normalized Difference Water Index (MNDWI) to assess vegetation and open water characteristics of the basins. We used these spectral indices to evaluate sedimentation risk of water basins combined with the fact that the most abundant plant species of the basins was the water caltrop (Trapa natans) indicating shallow water. We proposed a 12-scale Level of Sedimentation Risk Index (LoSRI) composed from vegetation cover data derived from satellite images to determine sedimentation risk within any given water basin. We validated our results with average water basin water depth values, which showed an r = 0.6 (p < 0.05) correlation. We also pointed on the most endangered locations of these sedimentation-threatened areas, which can provide crucial information for management planning of water directorates and management organizations.

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Assessment of land use land cover changes in Loktak Lake in Indo-Burma Biodiversity Hotspot using geospatial techniques

Cited by 19 publications

References 26 publications

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India

Monitoring of marble quarries expansion and land cover changes using satellite images and GIS on a rural settlement of Burdur province, Turkey

NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes—Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades

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