Remote Sensing & Field Data Integration Tender - 137106788

GENERAL INFORMATIONA critical technical gap in current peatland fire monitoring is the inability to accurately measure the depth of burn scars. While traditional methods focus on measuring "burned area" (m2), peat fires burn vertically into the soil, creating deep combustion craters. Without measuring this volumetric loss (m3), it is impossible to accurately calculate Greenhouse Gas (GHG) emissions for Nationally Determined Contributions (NDCs).The year 2025 has introduced a new generation of "fire-specific" satellite constellations (including FireSat, Forest-1/OroraTech), which promise significantly higher resolution and sensitivity to smouldering fires. However, the capabilities of these sensors regarding peatland fire measurement are currently unknown and untested.Consequently, this assignment requires the Service Provider to bridge the gap between satellite data and ground reality. The provider will deploy UAV-based LiDAR technologies to capture precise (cm level accuracy), site-level measurements of burn scar depths. These "ground truth" volumetric datasets will serve two purposes: (1) to estimate the actual volume of peat lost to combustion, and (2) to calibrate and validate the detection accuracy of the new 2025 satellite sensors.DESCRIPTION OF SERVICESThe Service Provider is expected to deliver the following technical outputs:• Output : Remote Sensing & Field Data Integrationo LiDAR Volumetric Analysis: Acquisition, processing, and analysis of Terrestrial and UAV-base...
Publish Date: 04-Mar-2026 UN Orgnization: FOOD AND AGRICULTURE ORGANISATION (FAO) Type of Notice: Request for EOI