Wetlands are among the world's most productive ecosystems — and among the most pressured. In development cooperation, a recurring challenge is not only to invest in conservation, but to show what is changing on the ground in a way that is transparent, comparable, and reproducible.

A recent analysis performed by KfW Development Bank for the evaluation department shows how publicly available Earth Observation (EO) satellite data can support continuous monitoring. Using open geospatial methods, the study tracks forest cover loss (2000–2024), burned area (2015–2022), and drought indicators to highlight different dimensions of conservation pressures over time, across three protected wetland sites in Lao People's Democratic Republic (Lao PDR) and Cambodia.

Three Wetland Sites, One Shared Method

The same monitoring workflow was applied across three sites of very different scale and setting:

Beung Kiat Ngong (Lao PDR) — 2,280 ha Ramsar wetland within Xe Pian National Protected Area
Xe Pian (Lao PDR; WDPA ID 12176) — 256,316 ha National Protected Area
Prek Toal (Cambodia) — 21,348 ha core area of the Tonlé Sap Biosphere Reserve
3
Wetland sites monitored
2000–2024
Forest cover data record
3
Open satellite indicators combined

The comparison is split into two periods so that trends can be read consistently across sites: Pre-project (2000–2014), used as the baseline for comparison, and the Project period (2015–2024), covering intervention-era monitoring.

Three Open Indicators

To monitor conservation pressures at the three wetland sites, the analysis draws on three publicly available indicators, each answering a different question:

1
Forest cover & loss Global Forest Watch — Hansen et al., GFC-2024-v1.12. 30 m resolution, 2000–2024. Tracks long-term forest change.
2
Burned area MODIS MCD64A1, Collection 6.1. 500 m resolution, 2015–2022. Captures fire-related disturbance.
3
Drought proxy NASA GRACE / GRACE-FO wetness percentile. ~25 km resolution, 2003–2022. Regional drought signal.

These variables were chosen because they are publicly available across geographies and suited to development cooperation monitoring and evaluation (M&E).

Comparable monitoring across sites

In this analysis, the same workflow was applied to different geographic contexts. This makes it easier to discuss trends with a shared language, even where field conditions, governance, and threats differ.

  • Transparency — based on open data and documented methods
  • Reproducible — workflows can be rerun as new satellite data become available
  • Scalable — comparable indicators across sites and countries
  • Decision-support oriented — helps frame where pressures increased, where trends stabilized, and where complementary field evidence is needed
  • Complementary to fieldwork — remote monitoring supplements local knowledge and field surveys, generating insights where on-site visits are challenging or restricted

Different Sites Show Different Signals

BKN
Beung Kiat Ngong Forest cover declined from about 1,030 ha (2000) to 910 ha (2024) — roughly 12% total loss — with most of it occurring before 2015.
XP
Xe Pian Loss accelerated in the project period: ~1.2% (2000–2014) versus ~6.4% (2015–2024) of the 2000 baseline.
PT
Prek Toal Relatively limited tree-cover loss overall (~1.7% since 2000), but substantial burned-area activity (~23,200 ha, 2015–2022), including a notable peak in 2016.

These contrasts highlight why site-specific monitoring is essential, since conservation impact can look very different depending on indicator, scale, and timeframe.

Forest cover trends in wetland study areas, 2000-2024
Figure 1. Annual forest cover trajectories (2000–2024) for the three wetland sites. Beung Kiat Ngong experienced earlier decline; Xe Pian shows stronger losses after 2015; Prek Toal remains comparatively stable in tree-cover extent.
Total forest cover loss by study area and period
Figure 2a. Total forest cover loss by study area and period, as % of each site's year-2000 forest baseline. Pre-project (2000–2014) and project-period (2015–2024) bars highlight contrasting trajectories — especially accelerated relative loss at Xe Pian during the later period. This summary figure corresponds to the visual forest cover loss trends observed in Figure 2b for the two wetland sites located in Lao PDR.
Spatial distribution of forest cover loss in and around Xe Pian Protected Area, detail
Figure 2b. Spatial distribution of forest cover loss (Global Forest Watch, Hansen et al., 30 m) in and around Xe Pian Protected Area, Lao PDR, for pre-project (2000–2014) and project period (2015–2024). Insets provide 1 km detail of Beung Kiat Ngong.

Open Methods Strengthen Accountability

The analysis relies on open datasets and reproducible scripts. Initial results show that while forest cover loss was minimal in Prek Toal, the site experienced extensive burning. More notable forest cover loss was observed in Xe Pian after 2015.

Correlation of drought and burned-area stressors with forest cover loss
Figure 3. Correlation of drought (D) and burned-area (B) stressors with forest cover loss, by project-period year (2015–2022).
Reading the figures

"The figures should be read as transparent, site-specific insights to support dialogue with partners and to flag where field follow-up is needed. Results can be reviewed, updated, and adapted for other programs — a practical step toward stronger monitoring and evaluation in biodiversity and climate-related cooperation."

Summary

Satellite-based monitoring can improve transparency, strengthen M&E, and support better conversations between practitioners, partners, and communities. For practitioners working on biodiversity, climate resilience, or landscape programs, it can be helpful to consider whether a lightweight geospatial monitoring layer could help your team track change earlier, compare sites consistently, and document results for learning and reporting.