Future Aspects and Potential of the Remote Sensing Technology to Meet the Natural Resource Needs

Sharma, Laxmi Kant; Gupta, Rajit; Pandey, Prem C.

doi:10.1002/9781119616016.ch22

Cited by 15 publications

(4 citation statements)

References 106 publications

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“…Therefore, it is essential to act quickly in order to manage and conserve this region's valuable forest biodiversity using advanced technologies. Advanced technologies like Geographic Information Systems (GIS) and Remote Sensing (RS) have become vital tools for mapping, measuring, and inventorying changes in the world's natural resources as well as for analyzing their spatial and temporal coverage (Sharma et al, 2021). The forest inhibits undesirable climate change and maintains ecosystems balanced between humanity, abiotic factors, and other natural organisms, as well as vital natural resources on the surface of the Earth (Liu et al, 2020;Yuan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Changes of Forest Cover and Land Surface Temperature Using Geo-Spatial Techniques in Talra Wildlife Sanctuary, Shimla, North-Western Himalaya

Thakur

Samant

Verma

2023

Preprint

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Geophysical parameter such as Land Surface Temperature (LST) plays an important role in studies related to hydrological processes, climate change, Forest Cover Change (FCC) detections, soil moisture estimations, vegetation water stress, etc. Thermal Infrared Sensors (TIRS) for several FCC categories are measured heat signatures. Deforestation, forest fire, grazing, and anthropogenic activities were witnessed in Protected Areas (PAs) forests. For the Single Channel (SC) algorithm and the Split Window (SW) algorithm. The Landsat-5 Thematic Mapper (TM), Landsat-7 Enhanced Thematic Mapper Plus (ETM+), and Landsat-8 Operational Land Imager (OLI) several time-series satellite data have been employed. The overall analysis of FCC showed a significant reduction (-5.59%) in dense forest areas. Despite an overall decrease in pasture and non-forest areas of about 2.99 Km2 between 2000 and 2021, there was a significant increase in these areas between 2000 and 2021 of 7.25% and 0.22%, respectively. The relative comparison of the LST on various FCC categories obtained from SC and SW algorithms revealed a ± 1 Kelvin (K) average difference in the years 2000, 2011, and 2021. The LST retrieved using the SC algorithm shows a strong negative correlation coefficient with Normalized Difference Vegetation Index (NDVI) of R2 = 0.791 in the year 2000 with ⍴ a value of -0.889, 0.750 with ⍴ the value of -0.866 in the year 2011, respectively, whereas the LST obtained using the SW algorithm exhibited a perfect negative Correlation Coefficient (R2 = 0.646 with a ⍴ value of -0.804) with the NDVI for the year 2021.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Changes of Forest Cover and Land Surface Temperature Using Geo-Spatial Techniques in Talra Wildlife Sanctuary, Shimla, North-Western Himalaya

Thakur

Samant

Verma

2023

Preprint

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“…The environmental and ecological sciences exist very much in the midst of this large-scale data generating revolution. Enabling technologies such as satellite remote sensing and autonomous vehicles are advancing at pace (e.g., De Robertis et al, 2021;Ohman et al, 2019), and data creation in these sciences is set to become faster and wider in scope as observation techniques improve in tandem (Sharma et al, 2021). This rapid increase is creating an urgent requirement for simple but effective curation tools.…”

Section: Introductionmentioning

confidence: 99%

Enhancing data mobilisation through a centralised data repository for Atlantic salmon (Salmo salar L.): Providing the resources to promote an ecosystem-based management framework.

Diack

Bull²,

Akenhead³

et al. 2022

Ecological Informatics

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“…Effective forest management requires access to current and accurate monitoring data, particularly in the midst of disturbance events such as wildfires or sudden mortality outbreaks [5][6][7][8]. Remote sensing imagery can play an important role in forestry decision-making, as long as acquired data are cost-effective and exhibit sufficient spatial and spectral resolution to detect phenomena of interest at appropriate geographic coverages and currencies [9][10][11]. High-resolution remote sensing imagery is widely used in mapping tree mortality associated with insect and disease disturbances [12,13].…”

Section: Introductionmentioning

confidence: 99%

Spatial Patterns of ‘Ōhi‘a Mortality Associated with Rapid ‘Ōhi‘a Death and Ungulate Presence

Perroy

Sullivan

Benitez

et al. 2021

Forests

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Effective forest management, particularly during forest disturbance events, requires timely and accurate monitoring information at appropriate spatial scales. In Hawai‘i, widespread ‘ōhi‘a (Metrosideros polymorpha Gaud.) mortality associated with introduced fungal pathogens affects forest stands across the archipelago, further impacting native ecosystems already under threat from invasive species. Here, we share results from an integrated monitoring program based on high resolution (<5 cm) aerial imagery, field sampling, and confirmatory laboratory testing to detect and monitor ‘ōhi‘a mortality at the individual tree level across four representative sites on Hawai‘i island. We developed a custom imaging system for helicopter operations to map thousands of hectares (ha) per flight, a more useful scale than the ten to hundreds of ha typically covered using small, unoccupied aerial systems. Based on collected imagery, we developed a rating system of canopy condition to identify ‘ōhi‘a trees suspected of infection by the fungal pathogens responsible for rapid ‘ōhi‘a death (ROD); we used this system to quickly generate and share suspect tree candidate locations with partner agencies to rapidly detect new mortality outbreaks and prioritize field sampling efforts. In three of the four sites, 98% of laboratory samples collected from suspect trees assigned a high confidence rating (n = 50) and 89% of those assigned a medium confidence rating (n = 117) returned positive detections for the fungal pathogens responsible for ROD. The fourth site, which has a history of unexplained ‘ōhi‘a mortality, exhibited much lower positive detection rates: only 6% of sampled trees assigned a high confidence rating (n = 16) and 0% of the sampled suspect trees assigned a medium confidence rating (n = 20) were found to be positive for the pathogen. The disparity in positive detection rates across study sites illustrates challenges to definitively determine the cause of ‘ōhi‘a mortality from aerial imagery alone. Spatial patterns of ROD-associated ‘ōhi‘a mortality were strongly affected by ungulate presence or absence as measured by the density of suspected ROD trees in fenced (i.e., ungulate-free) and unfenced (i.e., ungulate present) areas. Suspected ROD tree densities in neighboring areas containing ungulates were two to 69 times greater than those found in ungulate-free zones. In one study site, a fence line breach occurred during the study period, and feral ungulates entered an area that was previously ungulate-free. Following the breach, suspect ROD tree densities in this area rose from 0.02 to 2.78 suspect trees/ha, highlighting the need for ungulate control to protect ‘ōhi‘a stands from Ceratocystis-induced mortality and repeat monitoring to detect forest changes and resource threats.

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Future Aspects and Potential of the Remote Sensing Technology to Meet the Natural Resource Needs

Cited by 15 publications

References 106 publications

Spatiotemporal Changes of Forest Cover and Land Surface Temperature Using Geo-Spatial Techniques in Talra Wildlife Sanctuary, Shimla, North-Western Himalaya

Spatiotemporal Changes of Forest Cover and Land Surface Temperature Using Geo-Spatial Techniques in Talra Wildlife Sanctuary, Shimla, North-Western Himalaya

Enhancing data mobilisation through a centralised data repository for Atlantic salmon (Salmo salar L.): Providing the resources to promote an ecosystem-based management framework.

Spatial Patterns of ‘Ōhi‘a Mortality Associated with Rapid ‘Ōhi‘a Death and Ungulate Presence

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