Big data and remote sensing for multi-decadal drought impact assessment on Shorea robusta

Chakraborty, Tanmoy; Sarkar, Showmitra Kumar; Morshed, Md. Manjur

doi:10.1007/s00704-022-04019-2

Cited by 9 publications

(3 citation statements)

References 83 publications

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“…The current development of these indicators predominantly revolves around testing increasingly narrower wavelengths, which unfortunately are incompatible with satellite remote sensing data [80,85,86] at this time. Consequently, widespread usage remains concentrated on a few simple indices, notably NDVI and EVI [187][188][189][190]. Although these indices effectively assess damage to forest resources caused by water stress, they do not effectively facilitate early detection and continuous monitoring of water stress progression.…”

Section: Overall Findingsmentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.

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Section: Overall Findingsmentioning

confidence: 99%

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Harper

Dell

2023

Remote Sensing

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“…The normalized difference vegetation index (NDVI) is a measure of photosynthetic activity and is commonly used as a proxy for vegetation stress and water balance and therefore indicates vegetation vitality (Lambert et al, 2013;Chakraborty et al, 2022). Furthermore, the NDVI can serve as an explanatory variable for the effects of temperature changes on forest cover (Weng et al, 2004;Deng et al, 2018).…”

Section: Forest Vitalitymentioning

confidence: 99%

Does fragmentation contribute to the forest crisis in Germany?

Mann¹,

Gohr²,

Blumröder³

et al. 2023

Front. For. Glob. Change

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Intact forests contribute to the ecosystem functionality of landscapes by storing and sequestering carbon, buffering and cooling the microclimate, and providing a range of related ecosystem functions. Forest fragmentation not only poses a threat to many organisms but also reduces the resistance and resilience of the ecosystem, which is especially relevant to the ongoing climate crisis. The effects of recent extreme heat years on forests in Germany have not been studied in detail for the influence of fragmentation. We investigate the relation of forest fragmentation with temperature and vitality in Germany per ecoregion at the canopy level using satellite imagery at 1-km and 30-m resolution. We compiled and correlated forest maps for connectivity based on Thiessen polygons, canopy temperatures on the hottest days based on land surface temperature, and forest vitality based on the maximum normalized difference vegetation index per growing season. We differentiated between ecoregions and main forest types. In 2022, larger intact tree-covered areas that are less fragmented have relatively low temperatures on hot days and higher overall vitality. Nearly 98% of the almost 1.95 million forest fragments at 30-m resolution in Germany are smaller than 1 km2, which cover nearly 30% of the total forest area. To counteract the forest crisis, forest and landscape management should aim to reduce fragmentation and maintain tree biomass and forest cover in the landscape. Increasing the size of continuous forest fragments contributes to ecosystem-based adaptation to climate change.

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“…Researchers often utilize the MODIS (moderate resolution imaging spectroradiometer). The resolution of images affects the accuracy of remote sensing [ 25 ]. In order to investigate both long-term and large-scale processes and obtain an overview of vegetation cover, remote sensing data has become the primary tool [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variability of vegetation and its relation to different hydroclimatic factors in Bangladesh

Das

Sarkar

2023

Heliyon

Self Cite

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Big data and remote sensing for multi-decadal drought impact assessment on Shorea robusta

Cited by 9 publications

References 83 publications

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

Does fragmentation contribute to the forest crisis in Germany?

Spatio-temporal variability of vegetation and its relation to different hydroclimatic factors in Bangladesh

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