Assessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India

Roshani, .; Sajjad, Haroon; Rahaman, Md Hibjur; Rehman, Sufia; Masroor, Md; Ahmed, Rizwan Raheem

doi:10.1007/s13762-022-04512-1

Cited by 10 publications

(3 citation statements)

References 54 publications

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“…[Source: Compiled from Kamran and Khorrami, 2022;Roshani et al, 2022;Kumari and Asok, 2017;Mahato et al, 2020;Mitra et al, 2021;Ebinne et al, 2020;Ishtiaque et al, 2016;Meng et al, 2016;Mandal et al, 2022. ]…”

Section: Gemi (Global Environment Monitoring Index)mentioning

confidence: 99%

“…Forests are one of the major natural resources of the world that cover nearly 30% of the world's terrestrial area (Keenan et al, 2015) and play a multifarious beneficial role in maintaining ecological functions, regulating climate, and ensuring environmental balance (Roshani et al, 2022). They provide various direct and indirect benefits, including nutritious food, wood for fuel, medicines, employment opportunities for rural communities, supporting livelihoods, and ensuring food security.…”

Section: Introductionmentioning

confidence: 99%

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A Review on Remote Sensing Based Forest Vegetation Health Assessment: Bangladesh Perspective

Sumiya,

Hasan,

Nusrat

et al. 2024

Dhaka Univ J Earth Env Sci

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This paper aims to present a critical review of the published scientific papers that have addressed the issue of forest health in Bangladesh using remote sensing techniques. A systematic review approach has been followed in this study where all the available papers on the application of remote sensing to assess the forest health vegetation condition of Bangladesh were considered for review. That search resulted in the selection of 48 papers. The findings indicate that remote-sensing-based studies have focused mostly on forest cover mapping and change, and landcover change detection rather than assessing the overall health condition of those forests. Also, among the major forests of the country, most studies have been conducted on Mangrove (Sundarban) forests whereas the least number of studies were found for the forests in the Chittagong Hill Tracts Forests areas and those studies were mostly conducted after the Rohingya crisis. Landsat satellite products have been most extensively used for their broader temporal resolution and availability while a few studies have worked with other products like MODIS, Sentinel, SPOT, etc. The application of advanced classification approaches incorporating machine learning algorithms and ground validation has shown effectiveness for investigating the forest or overall ecosystem health in a more detailed way. Although the RS techniques are increasingly used to study the forests of Bangladesh, forest health-specific and indicator-based research is yet to be done which can ensure sustainable forest management. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 107-121

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Section: Gemi (Global Environment Monitoring Index)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review on Remote Sensing Based Forest Vegetation Health Assessment: Bangladesh Perspective

Sumiya,

Hasan,

Nusrat

et al. 2024

Dhaka Univ J Earth Env Sci

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show abstract

“…Previous researchers have already applied several MCDM techniques to find the flood, landslide susceptible zones, wetland habitat zone, urban surface ecological health condition zones (Rehman et al, 2022;Craciun et al, 2022). Few popular MCDM techniques are analytical hierarchy process (AHP) (Kumar et al, 2022;Roshani et al, 2022), analytical network process (ANP) (Dahri et al, 2022;Abedini et al, 2022), weights of evidence (WOE) (Bopche & Rege, 2022;Behera & Panigrahi, 2022), evidential belief function (EBF) (Ramesh & Iqbal, 2020;Zhao et al, 2022) etc. However, the MCDM techniques have suffered from biasness due to subjective weights, time consuming and slow computational process.…”

Section: Introductionmentioning

confidence: 99%

Identifying Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed

Ahmed¹,

Talukdar²,

Naikoo³

et al. 2022

Preprint

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The urban watershed of Guwahati, Assam, has witnessed a rapid urbanization in recent years, making it to one of the most deteriorated cities in terms of environmental issues. Therefore, this work focused on finding the most suitable soil-water conservation areas at a micro-scale using coupling coordination mechanism. Principal component analysis (PCA) was used to create a priority model for sub-watershed basin based on nineteen morphometric parameters. We then quantified the soil erosion using the revised universal soil loss equation (RUSLE) for current and future scenarios based on the representative concentration pathway (RCP) 2.6 and 8.5 models (RCP2.6 and 8.5). In addition, we proposed the fuzzy logic and analytical hierarchy process (AHP) model-based soil-water conservation suitability (SWPC) model for current and future scenarios. Finally, the most suitable soil-water conservation areas for current and future scenarios were identified using coupling coordination degree model (CCD). To the author’s knowledge, this is the first in-depth study that identifies the most suitable conservation areas by analyzing the watershed prioritization, soil erosion, and topographic, hydrologic, land cover, and climatic parameters-based soil-water conservation suitability models. Sub-watersheds comprising Silsako, Bharalu, Deepor Beel, and North Guwahati have been identified as high-priority sub-watersheds. According to the current RUSLE model, soil erosion in the study area varies from 140 to 181.64 tonnes per hectare per year. In contrast, soil erosion would continue to increase in the future as per the RCP8.5 model, which varies from 305 to 332 tonnes per hectare per year. The current SWPC model predicted 46.92 km2 area as high and 54.40 km2 area as very high suitable zones. However, under the RCP 2.6 and RCP 8.5 models, the high and very high SWPC zones will experience extended areas in the future due to increased soil erosion intensity. According to the CCDM results, Bharalu, Deepor Beel, and North-Guwahati sub-watersheds have observed a very high to medium coupling degrees, which are considered the most suitable areas for conservation. The findings of this study will significantly help stakeholders and experts in long-term land-water resource management and effectively address environmental degradation issues in urban watersheds around the world.

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Identification of Major Threats of Climate Change, Hazards, and Anthropogenic Activities on Biodiversity Conservation in the Buxa Tiger Reserve, India

Das,

Datta,

Behera

2024

Environmental Management

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Assessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India

Cited by 10 publications

References 54 publications

A Review on Remote Sensing Based Forest Vegetation Health Assessment: Bangladesh Perspective

A Review on Remote Sensing Based Forest Vegetation Health Assessment: Bangladesh Perspective

Identifying Most Suitable Priority Areas for Soil-Water Conservation Using Coupling Mechanism in Guwahati Urban Watershed

Identification of Major Threats of Climate Change, Hazards, and Anthropogenic Activities on Biodiversity Conservation in the Buxa Tiger Reserve, India

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