National | PANORAMA

Strategic Stakeholder Engagement in APL Forest Management

Farmer Business School, "Local Champion Empowerment Program in Forest Area Management in Non-State Owned Forest Area in Sintang and Ketapang District of West Kalimantan Province" has been implemented by Tropenbos Indonesia.

- UNDP Indonesia_KALFOR

“Farmer Business School” (FBS) to increase the entrepreneurial and business management capacity of local champions and entrepreneurs.

- UNDP Indonesia_KALFOR

“Farmer Business School” (FBS) to increase the entrepreneurial and business management capacity of local champions and entrepreneurs.

- UNDP Indonesia_KALFOR

“Farmer Business School” (FBS) to increase the entrepreneurial and business management capacity of local champions and entrepreneurs.

- UNDP Indonesia_KALFOR

The Kalfor project addresses the Management of Kalimantan's APL (Non-State-Owned Forest Area) forests, threatened by conversion to palm oil plantations. With jurisdiction over these lands contested among various ministries and no specific legislation for their protection, Kalfor recognized the need for wide stakeholder engagement. This approach involves educating and building consensus among government agencies, local communities, private sector, and academia about the ecological and economic benefits of conserving APL forests.

Key to this process has been a multi-stakeholder consultation approach, involving diverse groups from government, private sector, civil society, and academia in the development of new regulations. Flexibility in strategy, adapting to political changes, and leveraging local initiatives based on stakeholder interests have been crucial. In Central Kalimantan, for example, Kalfor's adaptable approach facilitated the endorsement of two Governor Decrees for forest conservation.

Kalfor's experience highlights the importance of building strong, wide stakeholder ownership and commitment at all levels. While the project has surpassed its goal of legally protecting over 644,374 ha of APL forest, challenges remain. Pursuing strategic conservation, especially prioritizing high conservation value forests and ensuring their intactness, is still an ongoing task. At the village level, integrating APL forest management into local development plans has proven effective in aligning conservation with community economic and cultural goals. The project demonstrates that in a complex political, economic, and legal landscape, fostering stakeholder engagement and adaptability is key to successful forest conservation.

Local

Subnational

National

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Southeast Asia

Strengthening Forested Area Planning and Management in Non-State Forest areas in Kalimantan

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Egan

Strategic Stakeholder Engagement in APL Forest Management

Quality Data for APL Forest Protection

Sustainable Alternative Revenue from APL Forests

Southeast Asia

Strengthening Forested Area Planning and Management in Non-State Forest areas in Kalimantan

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Egan

Strategic Stakeholder Engagement in APL Forest Management

Quality Data for APL Forest Protection

Sustainable Alternative Revenue from APL Forests

Southeast Asia

Strengthening Forested Area Planning and Management in Non-State Forest areas in Kalimantan

Andrea

Egan

Strategic Stakeholder Engagement in APL Forest Management

Quality Data for APL Forest Protection

Sustainable Alternative Revenue from APL Forests

West and Central Africa

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Perez Arredondo

West and Central Africa

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Ana Maria

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South Asia

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Nicholas

Souter

Caribbean

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Vindas Chacón

Drone Data

From drone data to canopy height model

Drones play a pivotal role in the 3LD-Monitoring system, complementing other data collection methods.Drones are essential tools in partner countries to fortify technical skills among local staff. These skills encompass flight planning, navigation and image evaluation. The drone monitoring aims to empower project staff to capture data tailored for photogrammetric analyses, from which crucial geoinformation emerges.

The drone mapping methodology encompasses five stages, with the first two focusing on drone operations:

Mapping mission preparation (desktop work)
Mapping mission execution (fieldwork)
Development of Digital Surface Model (DSM) & Orthomosaic generation (desktop work)
Data analysis and refinement (desktop work)
Integration into the prevailing data system (desktop work)

Drone data aids in evaluating indicators linked to carbon/biomass, such as mortality rates and forest types. Notably, with the application of allometric equations and proper characterization of the land type, above-ground biomass estimations of trees can be determined.

Drones with pre-set flight planning capability ensure seamless orthophoto creation from individual images. This enables individual snapshots to seamlessly merge into an orthophoto (aerial photograph corrected for distortions, allowing accurate measurements). It's also vital to consider the availability of these drones in the local markets of partner countries. Leveraging local knowledge by involving local academia is paramount in this process. They can provide essential allometric equations, grounded in tree height, that facilitate precise biomass calculations.

Drones generate high resolution images, allowing a detailed overview of land cover changes, tree survival and erosion rates, among others. Combined with field data, drone-based monitoring is strengthened, guaranteeing a sound monitoring.

The heterogeneity of trees and vegetation density often hinders a sound extraction of common key points between the images, which is necessary to estimate the heights and other indicators. In this regard, increasing the overlap between images to a minimum of 85 % frontal and side overlap can improve the extraction of key points. Also, increasing the flight height of the drone reduces perspective distortion, which facilitates the detection of visual similarities between overlapping images. However, too much overlapping, i.e., high overlapping percentages result in higher amount of data, making data processing more time intensive.

Another aspect already mentioned is the availability of suitable drones in the partner countries. Importing drones to the respective countries is difficult, and bureaucratic barriers persist.

Satellite Data

Screenshot of the existing F4F-Dashboard application

Satellite data forms the bedrock of the 3LD-Monitoring system, harnessing the capabilities of open-source imagery from the Copernicus Sentinel-2 and LANDSAT satellites. An algorithm, meticulously developed by Remote Sensing Solutions (RSS) GmbH, revolutionizes this process. Users can seamlessly submit the shapefile of their area of interest, prompting the algorithm to automatically fetch and analyze relevant data. A spectrum of robust analyses are conducted including the 5-year vegetation trend using NDVI for assessing vegetation gains or losses, 5-year vegetation moisture analysis through NDWI, and a nuanced 5-year rainfall trend evaluation. Additionally, the algorithm facilitates the visualization of vegetation changes since the inception of the project, bolstering the monitoring framework with dynamic insights. Satellite data, a vital component of the 3LDM-Monitoring system, leverages open-source imagery from the Copernicus Sentinel-2 mission and LANDSAT satellites. For predefined areas, this data is automatically fetched and analyzed for specific parameters. Key analyses include a 5-year vegetation trend using NDVI as a proxy for vegetation gains or losses, a 5-year vegetation moisture trend through NDWI, and a 5-year rainfall trend. In addition vegetation changes from project start can be visualized.

Effective use of this building block hinges on users drawing and saving areas in GIS platforms like QGIS. Additionally, enhancing the shapefile with project specifics, such as start dates and FLR type, optimizes analysis. Proper training in these skills ensures accurate data input and tailored monitoring, making capacity building in these areas essential if not present.

While satellite data, especially open-source, offers broad insights, its capability for species identification is highly restricted, if not unattainable. This limitation emphasizes the indispensable role of field work in discerning species composition and characteristics. Additionally, understanding the innate constraints of satellite imagery, especially with young tree plantations, reinforces the need for integrating field and drone data to gain a comprehensive view of forest terrains.