Drone-based mapping and GIS analysis for identifying farmland vulnerable to excessive water runoff

Technology
Conceptual
University

Drone (RPA) technology combined with GIS to map and identify farmland areas vulnerable to excessive water runoff from heavy precipitation events. Enables farmers to target mitigation measures such as reforestation and drainage improvements, reducing erosion, nutrient loss, and protecting dairy farm productivity.

Overview

This solution uses drone-based remote sensing (RPA) and geographic information systems (GIS) to identify farmland areas most vulnerable to excessive water runoff caused by large precipitation events. Heavy rainfall increasingly overwhelms traditional drainage infrastructure, leading to soil erosion, nutrient leaching, and reduced farm productivity. By producing detailed terrain models and land cover maps, the technology pinpoints exactly where remediation efforts—such as reforestation, drainage improvements, or erosion control—will deliver the greatest benefit. The approach is being developed and validated on dairy farms in Monteverde, Costa Rica, where varying slopes and soil conditions make runoff management a persistent challenge.

Technical specifications
  • Aerial mapping using drones (RPA) to capture high-resolution imagery of farmland terrain and land cover
  • GIS-based processing to generate digital terrain models, orthomosaics, and 3D digital elevation models (3D-DEM)
  • Hydrological analysis incorporating rainfall data, topographical relief, pluvial flow rates, and pluviometer readings
  • Chemical water analysis of runoff samples to quantify nutrient loss and leaching impact
  • Identification of risk areas for oversaturation, erosion, and excessive runoff
  • Final actionable maps presented to farmers showing vulnerable zones and recommended mitigation locations
  • Field validation through ground truthing during the rainy season (June–October)
Technology readiness level

The technology is currently at an active field validation stage. Testing is being conducted on three dairy farms with different slopes and three plots per farm in Monteverde, Costa Rica, covering a total area of 18 hectares. The validation timeline spans a full annual cycle: drone flights and water testing during the rainy season (June–October), GIS orthomosaic and 3D-DEM creation (October–March), and hydrological and chemical analysis (March–June). Final risk maps and mitigation recommendations are expected to be delivered to farmers at the conclusion of this cycle.


About Universidad de Costa Rica

Universidad de Costa Rica is a comprehensive public research university headquartered in San José and the country’s principal generator of research. Its on‑campus research complex, the Ciudad de la Investigación, co‑locates institutes and shared labs next to the main campus, streamlining joint work and facility access. Industry engagement runs through PROINNOVA for IP, licensing and collaboration, while AUGE offers incubation and acceleration that connect companies with prototypes and talent. Projects are supported by national funding via the FEES mechanism coordinated by CONARE and by competitive programs from MICITT. Standardized material‑transfer processes further de‑risk partnerships and speed execution.

Halo home
Partner smarter. Move faster.
Get new partnering requests
delivered to your inbox.