Primitives as building blocks for constructing land cover maps

Saah, David; Tenneson, Karis; Poortinga, Ate; Nguyen, Quyen; Chishtie, Farrukh; Aung, K. S.; Markert, Kel; Clinton, Nicholas; Anderson, Eric; Cutter, Peter; Goldstein, Joshua; Housman, Ian W.; Bhandari, Biplov; Potapov, Peter; Matin, Mir A.; Uddin, Kabir; Pham, Hai N.; Khanal, Nishanta; Maharjan, S. B.; Ellenberg, Walter L.; Bajracharya, Birendra; Bhargava, Radhika; Maus, P.; Patterson, Matthew; Flores-Anderson, Africa; Silverman, Jeffrey B.; Sovann, Chansopheaktra; Phuong, Minh; Nguyen, Giang V.; Bounthabandit, Soukanh; Aryal, Raja Ram; Myat, Su Mon; Sato, K.; Lindquist, Erik; Kono, Marija; Broadhead, Jeremy; Towashiraporn, Peeranan; Ganz, David

doi:10.1016/j.jag.2019.101979

Cited by 57 publications

(76 citation statements)

References 101 publications

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“…The approach builds on primitive map layers (e.g. forest canopy cover, tree height), and decision tree logic for creating land cover classes defined by end users (Saah et al 2020). Forest classifications can distinguish between stable (i.e.…”

Section: Land-cover Datamentioning

confidence: 99%

“…loss, gain, rotation) (Potapov et al 2019), which is important in areas like Cambodia with high loss of primary forest for the establishments of plantation forests. Land cover maps were assessed with independent validation data (Saah et al 2020). SERVIR-Mekong provide two products (i.e.…”

Section: Land-cover Datamentioning

confidence: 99%

“…SERVIR-Mekong provide two products (i.e. Version 1 and Version 2), and we chose to work with the Version 2 product because of its long-term duration , continuous temporal resolution (annual), high overall accuracy (95%), as well as the participatory and inclusive approach for defining land cover classes (Saah et al 2020).…”

Section: Land-cover Datamentioning

confidence: 99%

“…In order to assess how landcover maps vary in terms of forest cover and forest loss, we compared existing land cover classifications of Cambodia on a national and sub-national scale. Even though the Version-2 land cover classifications by SERVIR-Mekong have high overall accuracy (94%; Saah et al (2020)), we compared the classification with SERVIR-Mekong Version 1 (from nowon called Version 1), Kong et al (2019), and Venkatappa et al (2019). Version 1 was partly resampled by us to identify forest plantations (see supplementary information and figure S5-7).…”

Section: Limitations and Key Assumptionsmentioning

confidence: 99%

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Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia

Johansson

Olin

Seaquist

2020

Environ. Res. Lett.

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Rapid deforestation is a major sustainability challenge, partly as the loss of carbon sinks exacerbates global climate change. In Cambodia, more than 13% of the total land area has been contracted out to foreign and domestic agribusinesses in the form of economic land concessions, causing rapid large-scale land use change and deforestation. Additionally, the distant drivers of local and global environmental change often remain invisible. Here, we identify hotspots of carbon loss between 1987-2017 using the dynamic global vegetation model LPJ-GUESS and by comparing past and present land use and land cover. We also link global consumption and production patterns to their environmental effects in Cambodia by mapping the countries to which land-use embedded carbon are exported. We find that natural forests have decreased from 54%-21% between 1987 and 2017, mainly for the expansion of farmland and orchards, translating into 300 million tons of carbon lost, with loss rates over twice as high within economic land concessions. China is the largest importer of embedded carbon, mainly for rubber and sugarcane from Chinese agribusinesses. Cambodian investors have also negatively affected carbon pools through export-oriented products like rubber. The combined understanding of environmental change and trade flows makes it possible to identify distant drivers of deforestation, which is important for crafting more environmentally and socially responsible policies on national and transnational scales.

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Section: Land-cover Datamentioning

confidence: 99%

Section: Land-cover Datamentioning

confidence: 99%

Section: Land-cover Datamentioning

confidence: 99%

Section: Limitations and Key Assumptionsmentioning

confidence: 99%

See 2 more Smart Citations

Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia

Johansson

Olin

Seaquist

2020

Environ. Res. Lett.

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“…They were created for the period from 1988 to 2017 using the Landsat legacy collection and machine learning methods in the Google Earth Engine open platform. The paper of Saah et al (2020) provides specific technical details regarding the work flow and data processing of this system. We provide a short description below.…”

Section: Land Cover Mapsmentioning

confidence: 99%

Linking Earth Observations for Assessing the Food Security Situation in Vietnam: A Landscape Approach

Poortinga¹,

Nguyen

Tenneson³

et al. 2019

Front. Environ. Sci.

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Land cover change and its impact on food security is a topic that has major implications for development in population-dense Southeast Asia. The main drivers of forest loss include the expansion of agriculture and plantation estates, growth of urban centers, extraction of natural resources, and water infrastructure development. The design and implementation of appropriate land use policies requires accurate and timely information on land cover dynamics to account for potential political, economical, and agricultural consequences. Therefore, SERVIR-Mekong led the collaborative development of a Regional Land Cover Monitoring System (RLCMS) with key regional stakeholders across the greater Mekong region. Through this effort, a modular system was used to create yearly land cover maps for the period 1988-2017. In this study, we compared this 30-year land cover time-series with Vietnam national forest resources and agricultural productivity statistics. We used remote sensing-derived land cover products to quantify landscape changes and linked those with food availability, one of food security dimension, from a landscape approach perspective. We found that agricultural production has soared while the coverage of agricultural areas has remained relatively stable. Land cover change dynamics coincide with important legislation regarding environmental management and sustainable development strategies in Vietnam. Our findings indicate that Vietnam has made major steps toward improving its' food security. We demonstrate that RLCMS is a valuable tool for evaluating the relationship between policies and their impacts on food security, ecosystem services and natural capital.

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Agricultural expansion and forest retreat in Mainland Southeast Asia since the late 1980s

Xiao,

Li,

Feng

2023

Land Degrad Dev

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Agrarian expansion and intensification in the tropical agricultural‐forest frontiers (TAFF) are continuously encroaching on forests, yet the magnitudes and processes of agricultural‐forest advances and retreats remain lacking investigation systematically and quantitatively. With over three‐decade (1987–2018) of land‐cover products, here, we revealed the spatiotemporal dynamic processes of agricultural advance and forest retreat and then quantified forest loss (FL) due to cropland and plantation expansion (PE) in Mainland Southeast Asia (MSEA). First, the agricultural expansion and FL peaked in the late 1990s to early 2000s and decelerated afterward in MSEA. Meanwhile, the continuous decline in deforestation rates was accompanied by a decline in the patches of forest fragments, while cropland and plantations first decreased and then increased. Second, 85% of cropland expansion (CE) occurred in forest frontiers of Myanmar (37%) and Thailand (32%) in particular, compared with 72% of PE in plantation‐forest frontiers, for example, 24% in Thailand and 22% in Cambodia. Third, 51% and 37% of the forests that declined were converted into cropland and plantations, respectively, with obvious national variations. In the least developed countries, such as Myanmar and Cambodia, CE dominated (65%), while the proportion of PE in Thailand and Vietnam was up to 56%. Finally, over 10% of the advances and retreats (re‐)occurred in various protected areas, with the expansion ratio of cropland and plantations nearly 1:2, particularly the Cambodia‐Thailand border. We thus appeal for more effective efforts from governments, the scientific community, and international initiatives (e.g., the UN‐REDD and Sustainable Development Goals) to further study and solve the issues of forest retreat and agricultural advance across the entire TAFF. Our new findings and insights about agricultural‐forest advances and retreats in their frontiers can enrich existing pan‐regional research of forest conversion or FL and agricultural expansion and provide an encouraging basis for action to reduce environmental degradation in tropical forests, including protected areas.

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Primitives as building blocks for constructing land cover maps

Cited by 57 publications

References 101 publications

Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia

Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia

Linking Earth Observations for Assessing the Food Security Situation in Vietnam: A Landscape Approach

Agricultural expansion and forest retreat in Mainland Southeast Asia since the late 1980s

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