Application of Remote Sensing for Assessing Forest Cover Conditions of Aurangabad, (MS), India

The recognition of versatile importance of vegetation for the human life resulted in the emergence of vegetation science and many its applications in the modern world. Hence a vegetation map should be versatile enough to provide the basis for these applications. Thus, a vegetation map should contain not only information on vegetation types and their derivatives but also the geospheric and climatic background. While the geospheric information could be obtained, mapped and generalized directly using satellite remote sensing, a computerized Geographic Information System can integrate it with meaningful vegetation information classes for large areas. Such aft approach was developed with respect to mapping forest vegetation in India at. 1 : 100 000 (1983) and is in progress now (forest cover mapping at 1 : 250 000). Several review works reporting the experimental and operational use of satellite remote sensing data in India were published in the last years (Unni, 1991, 1992, 1994).

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Application of Space-Born Remote Sensing To Analyze Forest Cover in Chittoor (India) Area

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2018.1134 ◽

2018 ◽

Vol 6 (1) ◽

pp. 884-890

Author(s):

Palakuru Mahesh

Keyword(s):

Remote Sensing ◽

Forest Cover

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Shedding New Light on Mountainous Forest Growth: A Cross-Scale Evaluation of the Effects of Topographic Illumination Correction on 25 Years of Forest Cover Change across Nepal

Remote Sensing ◽

10.3390/rs13112131 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2131

Author(s):

Jamon Van Den Hoek ◽

Alexander C. Smith ◽

Kaspar Hurni ◽

Sumeet Saksena ◽

Jefferson Fox

Keyword(s):

Remote Sensing ◽

Geographic Distribution ◽

Classification Accuracy ◽

Forest Cover ◽

Forest Growth ◽

Forest Cover Change ◽

Scale Evaluation ◽

Beneficial Effects ◽

Affect Detection

Accurate remote sensing of mountainous forest cover change is important for myriad social and ecological reasons, but is challenged by topographic and illumination conditions that can affect detection of forests. Several topographic illumination correction (TIC) approaches have been developed to mitigate these effects, but existing research has focused mostly on whether TIC improves forest cover classification accuracy and has usually found only marginal gains. However, the beneficial effects of TIC may go well beyond accuracy since TIC promises to improve detection of low illuminated forest cover and thereby normalize measurements of the amount, geographic distribution, and rate of forest cover change regardless of illumination. To assess the effects of TIC on the extent and geographic distribution of forest cover change, in addition to classification accuracy, we mapped forest cover across mountainous Nepal using a 25-year (1992–2016) gap-filled Landsat time series in two ways—with and without TIC (i.e., nonTIC)—and classified annual forest cover using a Random Forest classifier. We found that TIC modestly increased classifier accuracy and produced more conservative estimates of net forest cover change across Nepal (−5.2% from 1992–2016) TIC. TIC also resulted in a more even distribution of forest cover gain across Nepal with 3–5% more net gain and 4–6% more regenerated forest in the least illuminated regions. These results show that TIC helped to normalize forest cover change across varying illumination conditions with particular benefits for detecting mountainous forest cover gain. We encourage the use of TIC for satellite remote sensing detection of long-term mountainous forest cover change.

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Patterns and Drivers of Deforestation and Forest Degradation in Myanmar

Sustainability ◽

10.3390/su13147539 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7539

Author(s):

Zaw Naing Tun ◽

Paul Dargusch ◽

DJ McMoran ◽

Clive McAlpine ◽

Genia Hill

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Local Governments ◽

Forest Canopy ◽

Forest Cover ◽

Forest Degradation ◽

Forest Monitoring ◽

Map Algebra ◽

Change Detection Analysis ◽

Detection Analysis

Myanmar is one of the most forested countries of mainland Southeast Asia and is a globally important biodiversity hotspot. However, forest cover has declined from 58% in 1990 to 44% in 2015. The aim of this paper was to understand the patterns and drivers of deforestation and forest degradation in Myanmar since 2005, and to identify possible policy interventions for improving Myanmar’s forest management. Remote sensing derived land cover maps of 2005, 2010 and 2015 were accessed from the Forest Department, Myanmar. Post-classification change detection analysis and cross tabulation were completed using spatial analyst and map algebra tools in ArcGIS (10.6) software. The results showed the overall annual rate of forest cover loss was 2.58% between 2005 and 2010, but declined to 0.97% between 2010 and 2015. The change detection analysis showed that deforestation in Myanmar occurred mainly through the degradation of forest canopy associated with logging rather than forest clearing. We propose that strengthening the protected area system in Myanmar, and community participation in forest conservation and management. There needs to be a reduction in centralisation of forestry management by sharing responsibilities with local governments and the movement away from corruption in the timber trading industry through the formation of local-based small and medium enterprises. We also recommend the development of a forest monitoring program using advanced remote sensing and GIS technologies.

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Capacity Development for Use of Remote Sensing for REDD+ MRV Using Online and Offline Activities: Impacts and Lessons Learned

Remote Sensing ◽

10.3390/rs13112172 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2172

Author(s):

Sarah Carter ◽

Martin Herold ◽

Inge Jonckheere ◽

Andres Espejo ◽

Carly Green ◽

...

Keyword(s):

Remote Sensing ◽

Forest Cover ◽

Hybrid Approach ◽

Remote Sensing Data ◽

Lessons Learned ◽

Multiple Partners ◽

Large Audience ◽

Forest Cover Changes ◽

The Impact ◽

And Training

Four workshops and a webinar series were organized, with the aim of building capacity in countries to use Earth Observation Remote Sensing data to monitor forest cover changes and measure emissions reductions for REDD+ results-based payments. Webinars and workshops covered a variety of relevant tools and methods. The initiative was collaboratively organised by a number of Global Forest Observations Initiative (GFOI) partner institutions with funding from the World Bank’s Forest Carbon Partnership Facility (FCPF). The collaborative approach with multiple partners proved to be efficient and was able to reach a large audience, particularly in the case of the webinars. However, the impact in terms of use of tools and training of others after the events was higher for the workshops. In addition, engagement with experts was higher from workshop participants. In terms of efficiency, webinars are significantly cheaper to organize. A hybrid approach might be considered for future initiatives; and, this study of the effectiveness of both in-person and online capacity building can guide the development of future initiatives, something that is particularly pertinent in a COVID-19 era.

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Remote sensing and GIS forest landscape assessment for sustainable forest management

Journal of Agriculture Forestry and the Social Sciences ◽

10.4314/joafss.v17i1.2 ◽

2021 ◽

Vol 17 (1) ◽

pp. 12-26

Author(s):

A.F. Chukwuka ◽

A. Alo ◽

O.J. Aigbokhan

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Forest Cover ◽

Sustainable Forest Management ◽

Markov Chain Model ◽

Remote Sensing Data ◽

Chain Model ◽

Spatial Metrics ◽

Forest Reserve ◽

Land Cover Types

This study set out to assess the dynamic characteristics of the Ikere forest reserve landscape between 1985 and 2017 using remote sensing data and spatial metrics. Landscape of the study area maintained complex patterns of spatial heterogeneity over the years. Forest cover loss to other land cover types results in new large non-forest area at increasing rate. As at the year 2017, the changes in land cover types were not yet at equilibrium, thus the need to determine the future forest cover extent using a three-way markov Chain model. The decrease in number of patches of forest land (NumP) with increase in its mean patch size (MPS) shows that the forest is becoming a single unit probably due to clearing of existing patches of forest trees. The decrease in class diversity and evenness (SDI and SEI) of the general landscape over the years strengthens this assertion. The findings of this study would be very helpful to government and other stakeholders responsible for ensuring sustainable forest and general environment. Keyword: Landscape, Spatial metrics, sustainable forest and Environment

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Late Quaternary drainage dynamics in northern Brazil based on the study of a large paleochannel from southwestern Marajó Island

Anais da Academia Brasileira de Ciências ◽

10.1590/s0001-37652008000300017 ◽

2008 ◽

Vol 80 (3) ◽

pp. 579-593 ◽

Cited By ~ 11

Author(s):

Dilce F. Rossetti ◽

Ana M. Góes

Keyword(s):

Remote Sensing ◽

Forest Cover ◽

Late Quaternary ◽

Drainage System ◽

Perfect Agreement ◽

Marajó Island ◽

Northern Brazil ◽

Remote Sensing Mapping ◽

The Town ◽

Tectonic Origin

Marajó Island shows an abundance of paleochannels easily mapped in its eastern portion, where vegetation consists mostly of savannas. SRTM data make possible to recognize paleochannels also in western Marajó, even considering the dense forest cover. A well preserved paleodrainage network from the adjacency of the town of Breves (southwestern Marajó Island) was investigated in this work combining remote sensing and sedimentological studies. The palimpsest drainage system consists of a large meander connected to narrower tributaries. Sedimentological studies revealed mostly sharp-based, fining upward sands for the channelized features, and interbedded muds and sands for floodplain areas. The sedimentary structures and facies successions are in perfect agreement with deposition in channelized and floodplain environments, as suggested by remote sensing mapping. The present study shows that this paleodrainage was abandoned during Late Pleistocene, slightly earlier than the Holocene paleochannel systems from the east part of the island. Integration of previous studies with the data available herein supports a tectonic origin, related to the opening of the Pará River along fault lineaments. This would explain the disappearance of large, north to northeastward migrating channel systems in southwestern Marajó Island, which were replaced by the much narrower, south to southeastward flowing modern channels.

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Evaluating the environmental impact of payments for ecosystem services in Coatepec (Mexico) using remote sensing and on-site interviews

Environmental Conservation ◽

10.1017/s037689291100052x ◽

2011 ◽

Vol 38 (4) ◽

pp. 426-434 ◽

Cited By ~ 53

Author(s):

JASON SCULLION ◽

CRAIG W. THOMAS ◽

KRISTINA A. VOGT ◽

OCTAVIO PÉREZ-MAQUEO ◽

MILES G. LOGSDON

Keyword(s):

Remote Sensing ◽

Ecosystem Services ◽

Forest Cover ◽

Remote Sensing Data ◽

Environmental Benefits ◽

Payments For Ecosystem Services ◽

Programme Implementation ◽

Before And After ◽

Monitoring And Enforcement ◽

Landsat Satellite

SUMMARYOver the last decade, hundreds of payments for ecosystem services (PES) programmes have been initiated around the world, but evidence of their environmental benefits remains limited. In this study, two PES programmes operating in the municipality of Coatepec (Mexico) were evaluated to assess their effectiveness in protecting the region's endangered upland forests. Landsat satellite data were analysed to assess changes in forest cover before and after programme implementation using a difference-in-differences estimator. Additionally, surveys and interviews were conducted with local residents and a subset of PES programme participants to evaluate the programmes’ social and environmental impacts, particularly the effect of the programmes on landowner behaviour. The remote-sensing data show that deforestation was substantially lower on properties receiving PES payments compared to properties not enrolled in the programmes, but the programmes did not prevent the net loss of forests within Coatepec. Moreover, the on-site interviews suggest that the payments may have had little impact on deforestation rates, and that other factors contributed to the conservation of forests in PES properties. These findings suggest that risk-targeted payments, robust monitoring and enforcement programmes, and additional conservation initiatives should be included in all PES schemes to ensure environmental effectiveness.

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