Quantitative assessment of landscape transformation using earth observation datasets in Shirui Hill of Manipur, India

Shimrah, Tuisem; Sarma, Kiranmay; Varga, Orsolya; Szabó, Szilárd; Singh, Sudhir Kumar

doi:10.1016/j.rsase.2019.100237

Cited by 8 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relevant topographic maps and imagery were geometrically rectified in 1:50,000 scale using geographic projection system UTM (Universal Transverse Mercator); spheroid and datum used were WGS 84 with UTM zone 46 N. Based on the reference data acquired in the field, visual image interpretation technique ( Garg et al., 1988 ) was performed to delineate land use and land cover viz., dense forest, open forest, degraded forest/grassland, agriculture and built up area. For spatial distribution of changes, matrix union of different land use land cover (LULC) classes was performed with assigned pixel size of 30 m ( Shimrah et al., 2019 ). The GIS and image processing software used include ArcGIS 10.1 and Erdas Imagine 2014.…”

Section: Methodsmentioning

confidence: 99%

Assessing the effectiveness of community managed forests for plant diversity conservation in Meghalaya, Northeast India

2022

Self Cite

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Assessing the effectiveness of community managed forests for plant diversity conservation in Meghalaya, Northeast India

2022

Self Cite

View full text Add to dashboard Cite

“…Swotting the key findings from such studies and assessing their relevance for managing academic institutions can oblige as an imperative benchmark for academicians, policymakers, institutional planners, and natural resource managers. Shimrah et al [61]…”

Section: Learnings From Past Studiesmentioning

confidence: 99%

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Srivastava

Chinnasamy

2021

SN Appl. Sci.

View full text Add to dashboard Cite

The present study, for the first time, examined land-use land cover (LULC), changes using GIS, between 2000 and 2018 for the IIT Bombay campus, India. Objective was to evaluate hydro-ecological balance inside campus by determining spatio-temporal disparity between hydrological parameters (rainfall-runoff processes), ecological components (forest, vegetation, lake, barren land), and anthropogenic stressors (urbanization and encroachments). High-resolution satellite imageries were generated for the campus using Google Earth Pro, by manual supervised classification method. Rainfall patterns were studied using secondary data sources, and surface runoff was estimated using SCS-CN method. Additionally, reconnaissance surveys, ground-truthing, and qualitative investigations were conducted to validate LULC changes and hydro-ecological stability. LULC of 2018 showed forest, having an area cover of 52%, as the most dominating land use followed by built-up (43%). Results indicated that the area under built-up increased by 40% and playground by 7%. Despite rapid construction activities, forest cover and Powai lake remained unaffected. This anomaly was attributed to the drastically declining barren land area (up to ~ 98%) encompassing additional construction activities. Sustainability of the campus was demonstrated with appropriate measures undertaken to mitigate negative consequences of unwarranted floods owing to the rise of 6% in the forest cover and a decline of 21% in water hyacinth cover over Powai lake. Due to this, surface runoff (~ 61% of the rainfall) was observed approximately consistent and being managed appropriately despite major alterations in the LULC. Study concluded that systematic campus design with effective implementation of green initiatives can maintain a hydro-ecological balance without distressing the environmental services.

show abstract

“…An increase in forest fragmentation is due to anthropogenic activities [71,72], it is due to the cultivation of paddy, minor fuelwood, and shifting cultivation for turmeric cultivation [73]. The area reported 40% of rice is cultivated in jhum sites [74] which is detrimental to forests, soil, and biodiversity [75][76]. Moreover, the mining activities are high in the area which ultimately affects the common herbal remedies used by the Jaiñtia tribe community namely Litsea khasiana, Aegle marmelos, Averrhoa carambola, Gaultheria fragrantissima, Gmelia arborea, Nepenthes khasiana, Oroxylum indicum, Rhododendron arborerum, Swertia chirayita, Ficus benghalensis, Taxus baccata, Mimosa pudica, Eupatorium cannabinum, Potentilla fulgens and Rubus ellipticus [77].…”

Section: Quantification Of the Spatial Pattern Of Forest Fragmentationmentioning

confidence: 99%

Investigating forest fragmentation through earth observation datasets and metric analysis in the tropical rainforest area

et al. 2021

Self Cite

View full text Add to dashboard Cite

Extensive mining operations, deforestation, jhumming, and soil erosion coupled with population stress in the study area have put an adverse effect on its forest resources. This study investigates the transition in forest cover classes and its fragmentation in the Jaiñtia Hills District of Meghalaya (India). Satellite data (multispectral images from Landsat 5 and 8) for 1995, 2001, 2007, and 2015 were classified using the supervised classification method. Landscape metrics from the classified images were calculated using FRAGSTATS. The overall accuracy of classification was found to be 87.50% (1995), 87.50% (2001), 85.00% (2007) and 91.67% (2015), respectively. The results revealed an increase in dense forest with an increase in the patch number from 1995 to 2007. Additionally, a decrease in non-forest cover with an increase in the number of patches from 2001 to 2015 was observed which further suggests fragmentation. It has been reported that 8.13% of the dense forest increased and 19.47% of non-forested areas decreased during the study period. Overall, this study highlights the changes in the distribution of forest area which could aid policy makers to adopt appropriate forest conservation strategies.

show abstract

Quantitative assessment of landscape transformation using earth observation datasets in Shirui Hill of Manipur, India

Cited by 8 publications

References 32 publications

Assessing the effectiveness of community managed forests for plant diversity conservation in Meghalaya, Northeast India

Assessing the effectiveness of community managed forests for plant diversity conservation in Meghalaya, Northeast India

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Investigating forest fragmentation through earth observation datasets and metric analysis in the tropical rainforest area

Contact Info

Product

Resources

About