Mr. Leonardo Vargas Profile

Leonardo Vargas

at Wageningen Univ & Research

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SPIE Journal Paper | 19 April 2017

Accounting for ecosystem assets using remote sensing in the Colombian Orinoco River Basin lowlands

Leonardo Vargas, Lars Hein, Roy Remme

JARS, Vol. 11, Issue 02, 026008, (April 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.026008

KEYWORDS: Ecosystems, Remote sensing, Vegetation, MODIS, Carbon, Environmental sensing, Associative arrays, Carbon sequestration, Climatology, Agriculture

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Worldwide, ecosystem change compromises the supply of ecosystem services (ES). Better managing ecosystems requires detailed information on these changes and their implications for ES supply. Ecosystem accounting has been developed as an environmental-economic accounting system using concepts aligned with the System of National Accounts. Ecosystem accounting requires spatial information from a local to national scale. The objective of this paper is to explore how remote sensing can be used to analyze ecosystems using an accounting approach in the Orinoco River Basin. We assessed ecosystem assets in terms of extent, condition, and capacity to supply ES. We focus on four specific ES: grasslands grazed by cattle, timber harvesting, oil palm fresh fruit bunches harvesting, and carbon sequestration. We link ES with six ecosystem assets: savannahs, woody grasslands, mixed agroecosystems, very dense forests, dense forest, and oil palm plantations. We used remote sensing vegetation and productivity indexes to measure ecosystem assets. We found that remote sensing is a powerful tool to estimate ecosystem extent. The enhanced vegetation index can be used to assess ecosystems condition, and net primary productivity can be used for the assessment of ecosystem assets capacity to supply ES. Integrating remote sensing and ecological information facilitates efficient monitoring of ecosystem assets.

Proceedings Article | 18 October 2016 Paper

Accounting for ecosystem assets using remote sensing in the Colombian Orinoco River basin lowlands

Leonardo Vargas, Lars Hein, Roy Remme

Proceedings Volume 10005, 1000510 (2016) https://doi.org/10.1117/12.2245293

KEYWORDS: Ecosystems, Remote sensing, Vegetation, MODIS, Climatology, Carbon sequestration, Carbon, Environmental sensing, Associative arrays, Agriculture

Read Abstract +

In many parts of the world, ecosystems change compromises the supply of ecosystem services (ES). Better ecosystem management requires detailed and structured information. Ecosystem accounting has been developed as an information system for ecosystems, using concepts and valuation approaches that are aligned with the System of National Accounts (SNA). The SNA is used to store and analyse economic data, and the alignment of ecosystem accounts with the SNA facilitates the integrated analysis of economic and ecological aspects of ecosystem use. Ecosystem accounting requires detailed spatial information at aggregated scales. The objective of this paper is to explore how remote sensing images can be used to analyse ecosystems using an accounting approach in the Orinoco river basin. We assessed ecosystem assets in terms of extent, condition and capacity to supply ES. We focus on four specific ES: grasslands grazed by cattle, timber and oil palm harvest, and carbon sequestration. We link ES with six ecosystem assets; savannahs, woody grasslands, mixed agro-ecosystems, very dense forests, dense forest and oil palm plantations. We used remote sensing vegetation, surface temperature and productivity indexes to measure ecosystem assets. We found that remote sensing is a powerful tool to estimate ecosystem extent. The enhanced vegetation index can be used to assess ecosystems condition, and net primary productivity can be used for the assessment of ecosystem assets capacity to supply ES. Integrating remote sensing and ecological information facilitates efficient monitoring of ecosystem assets, in particular in data poor contexts.

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