A Texture-Based Land Cover Classification for the Delineation of a Shifting Cultivation Landscape in the Lao PDR Using Landscape Metrics

Hurni, Kaspar; Hett, Cornelia; Epprecht, Michael; Messerli, Peter; Heinimann, Andreas

doi:10.3390/rs5073377

Cited by 37 publications

(35 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In MSEA, swidden practice patches are randomly distributed with other types of land use and land cover landscapes. Therefore, the selection of landscape metrics for detecting swidden landscape needs to be closely related to its landscape process and pattern [138]. For example, Hurni et al applied two spatial statistical indicators, namely the area proportion of all change land cover classes and variation coefficient of the area for changed land cover classes [97].…”

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

“…In view of aforementioned shortcomings, the landscape metrics approach was subsequently proposed to detect and monitor swidden cultivation dominated landscapes by combining moving window techniques in northern Laos [97,138]. This method makes the dynamic monitoring of swidden cultivation possible with either single land cover dataset or time-series satellite imagery.…”

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

“…Then, the swidden cultivation dominated landscape was identified with a high area share of change classes and a low variation coefficient. In a recent study of Hurni et al [138], they utilized three landscape metrics for deriving the swidden cultivation landscape and two landscape metrics for deriving the agriculturally unused forest patches. Nevertheless, landscape metrics approach has shown the potential for evaluating swidden cultivation landscape, yet it is still a new attempt toward the spatial mapping of swidden systems.…”

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

“…Therefore, scholars attempt to delineate swidden system using Landscape Ecology methods at the landscape scale. Normally, the landscape mosaics approach and landscape metrics approach are regularly used in swidden mapping with remote sensing data [97,[136][137][138].…”

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

See 3 more Smart Citations

A Review of Swidden Agriculture in Southeast Asia

et al. 2014

View full text Add to dashboard Cite

Swidden agriculture is by far the dominant land use system in the mountainous regions of Southeast Asia (SEA). It provides various valuable subsistence products to local farmers, mostly the poor ethnic minority groups. Controversially, it is also closely connected with a number of environmental issues. With the strengthening regional economic cooperation in SEA, swidden agriculture has experienced drastic transformations into other diverse market-oriented land use types since the 1990s. However, there is very limited information on the basic geographical and demographic data of swidden agriculture and the socio-economic and biophysical effects of the transformations. International programs, such as the Reducing Emissions from Deforestation and forest Degradation (REDD), underscore the importance of monitoring and evaluating swidden agriculture and its transition to reduce carbon emission due to deforestation and forest degradation. In this context, along with the accessibility of Landsat historical imagery, remote sensing based techniques will offer an effective way to detect and monitor the locations and extent of swidden agriculture. Many approaches for investigating fire occurrence and burned area can be introduced for swidden agriculture mapping due to the common feature of fire relatedness. In this review paper, four broad approaches involving spectral signatures, phenological characteristics, statistical theory and landscape ecology were summarized for swidden agriculture delineation. Five research priorities about swidden agriculture involving remote sensing techniques, spatial pattern, change, drivers and impacts were proposed accordingly. To our knowledge, a synthesis review on the remote sensing and outlook on swidden agriculture has not been reported yet. This review paper aims to give a comprehensive overview of swidden agriculture studies in the domains of debated definition, trends, remote sensing methods and OPEN ACCESSRemote Sens. 2014, 6 1655 outlook research in SEA undertaken in the past two decades.

show abstract

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

Section: Landscape Ecology Based Approachesmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Swidden Agriculture in Southeast Asia

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Clearings and fallows were classified using spectral unmixing analysis, a technique that the best of our knowledge, only one study (Hurni et al, 2013) has managed to delineate 129 landscape units in which shifting cultivation prevails, by using higher spatial resolution…”

mentioning

confidence: 99%

Identification and quantification of drivers of forest degradation in tropical dry forests: A case study in Western Mexico

et al. 2015

View full text Add to dashboard Cite

show abstract

Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988–2016

Zhu

Xiao

et al. 2018

J. Geogr. Sci.

View full text Add to dashboard Cite

Swidden agriculture is by far the dominant land use system in the uplands of Southeast Asia (SEA), as well as other tropical regions, which plays an important role in the implementation of Reducing Emissions from Deforestation and Forest Degradation (REDD) of United Nations. To our knowledge, the long-term inter-annual area of newly burned plots (NBP) of swidden agriculture in mainland Southeast Asia is still not available, let alone in the whole tropics. With the strengthening regional geo-economic cooperation in SEA, swidden agriculture has experienced and/or is still experiencing extensive and drastic transformations into other diverse market-oriented land use types since the 1990s. In this study, high-level surface reflectance products of Landsat 4/5/7/8 family sensors including Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) and Operational Land Imager (OLI) acquired in March, April and May of each year between 1988 and 2016 were firstly utilized to detect and monitor the extent and area of NBP of swidden agriculture with multiple thresholds of four commonly-used vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Burn Ratio (NBR) and Soil Adjusted Vegetation Index (SAVI), in combination with local phenological features of swiddening and topographical data. The results showed that: (1) an annual average of 6.08×10 4 km 2 of NBP of swidden agriculture, or 3.15% of the total land area of MSEA, were estimated in the past nearly three decades. (2) Annual NBP were primarily distributed in four major geomorphic units including the Central Range of Hills, Northern Mountainous Region, Western Myanmar Hills, and Annamite Chain. (3) A decadal average analysis indicated that the NBP of swidden agriculture opened year by year declined as a whole, especially after 2010, merely with an average of 5.23×10 4 km 2. (4) The top ten provincial administrative units in Cambodia, Laos, Myanmar, Thailand and Vietnam, which consistently accounted for over 90% of the newly opened swiddens of each country, showed distinct fluctuations in using

show abstract

A Texture-Based Land Cover Classification for the Delineation of a Shifting Cultivation Landscape in the Lao PDR Using Landscape Metrics

Cited by 37 publications

References 41 publications

A Review of Swidden Agriculture in Southeast Asia

A Review of Swidden Agriculture in Southeast Asia

Identification and quantification of drivers of forest degradation in tropical dry forests: A case study in Western Mexico

Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988–2016

Contact Info

Product

Resources

About