Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

Singh, Minerva; Evans, Damian; Friess, Daniel A.; Tan, Boun Suy; Nin, Chan Samean

doi:10.3390/rs70505057

Cited by 36 publications

(36 citation statements)

References 37 publications

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“…The application of ALS completely transformed our view of all of the covered areas, in some cases unexpectedly revealing entire urban landscapes beneath dense jungle canopy . The campaign has resulted in a range of significant research outcomes in archaeology as well as other domains such as forest ecology (Singh et al, 2015a(Singh et al, , 2015b, and ALS-derived datasets now play a key role in the management of the World Heritage site. Analysis and interpretation of the 2012 data will continue for years to come.…”

Section: Background and Rationalementioning

confidence: 99%

Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia

Evans¹

2016

Journal of Archaeological Science

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103

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a b s t r a c tEarly Khmer societies developed extensive settlement complexes that were largely made of non-durable materials. These fragile urban areas perished many centuries ago, and thus a century and a half of scholarly research has focussed on the more durable components of Khmer culture, in particular the famous temples and the texts and works of art that are normally found within them. In recent years however there has been a considerable effort to broaden the perspective beyond conventional approaches to Khmer history and archaeology. Remarkable advances have been made in the domain of remote sensing and archaeological mapping, including the application of advanced geospatial techniques such as airborne laser scanning within studies of heritage landscapes at Angkor and beyond. This article describes the most recent applications of the technology in Cambodia, including the results of a newlycompleted campaign of airborne laser scanning in 2015dthe most extensive acquisition ever undertaken by an archaeological projectdand underscores the importance of using these methods as part of a problem-oriented research program that speaks to broader issues within history and archaeology.

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Section: Background and Rationalementioning

confidence: 99%

Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia

Evans¹

2016

Journal of Archaeological Science

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103

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“…This equation was used to produce AGB estimates for both 2012 and 2015 using the aerial imagery‐derived canopy cover as previously done in (Singh, Evans, Friess, Tan, & Nin, ; Singh et al., ). Similar log–log‐based models have been used for landscape scale biomass mapping with LiDAR‐derived variables in other tropical forest ecosystems as well (Réjou‐Méchain et al., ).…”

Section: Methodsmentioning

confidence: 99%

Evaluating the ability of community‐protected forests in Cambodia to prevent deforestation and degradation using temporal remote sensing data

Singh

Evans

Chevance³

et al. 2018

Ecology and Evolution

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Community forests are known to play an important role in preserving forests in Cambodia, a country that has seen rapid deforestation in recent decades. The detailed evaluation of the ability of community‐protected forests to retain forest cover and prevent degradation in Cambodia will help to guide future conservation management. In this study, a combination of remotely sensing data was used to compare the temporal variation in forest structure for six different community forests located in the Phnom Kulen National Park (PKNP) in Cambodia and to assess how these dynamics vary between community‐protected forests and a wider study area. Medium‐resolution Landsat, ALOS PALSAR data, and high‐resolution LiDAR data were used to study the spatial distribution of forest degradation patterns and their impacts on above‐ground biomass (AGB) changes. Analysis of the remotely sensing data acquired at different spatial resolutions revealed that between 2012 and 2015, the community forests had higher forest cover persistence and lower rates of forest cover loss compared to the entire study area. Furthermore, they faced lower encroachment from cashew plantations compared to the wider landscape. Four of the six community forests showed a recovery in canopy gap fractions and subsequently, an increase in the AGB stock. The levels of degradation decreased in forests that had an increase in AGB values. However, all community forests experienced an increase in understory damage as a result of selective tree removal, and the community forests with the sharpest increase in understory damage experienced AGB losses. This is the first time multitemporal high‐resolution LiDAR data have been used to analyze the impact of human‐induced forest degradation on forest structure and AGB. The findings of this work indicate that while community‐protected forests can improve conservation outcomes to some extent, more interventions are needed to curb the illegal selective logging of valuable timber trees.

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“…After acquiring coordinates, Google Earth TM was used to verify the locations as well as to digitize quarry boundaries. Google Earth™ offers Digital Globe images at spatial resolution of 0.5 m and has been used as a source of reference data in remote sensing analysis (Hu et al, 2013;Singh et al, 2015). Landsat images were acquired from the United State Geological Survey (http://earthexplorer.usgs.gov/) given in Table 1.…”

Section: Sampling and Data Acquisitionmentioning

confidence: 99%

Assessing Land Cover Changes Caused by Granite Quarrying Using Remote Sensing

Moeletsi

Tesfamichael

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Dimension stone quarrying in the area between Rustenburg and Brits in the North West Province of South Africa has been in existence for over 70 decades. The unique characteristics of the granite deposits in South Africa resulted in making the country a global producer of the granite rocks. This led to intensified quarrying activities between Rustenburg and Brits town. However, this surface mining method, has a potential to impact the environment in a negative way causing loss in vegetation, depletion of natural resources, loss of scenic beauty and contamination of surface water resources. To assess the land cover changes caused by granite quarrying activities, remotely sensed data in the form of Landsat images between 1998 and 2015 were used. Supervised classification was used to create maps. Accuracy assessment using Google Earth TM as a reference data yielded an overall accuracy of 78%. The post classification change detection method was used to assess land cover changes within the granite quarries. Granite quarries increased by 1174.86 ha while formation of quarry lakes increased to 5.3 ha over the 17-year period. Vegetation cover decreased by 1308 ha in area while 18.3 ha bare land was lost during the same period. This study demonstrated the utility of remote sensing to detect changes in land cover within granite quarries.

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Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth

Cited by 36 publications

References 37 publications

Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia

Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia

Evaluating the ability of community‐protected forests in Cambodia to prevent deforestation and degradation using temporal remote sensing data

Assessing Land Cover Changes Caused by Granite Quarrying Using Remote Sensing

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