Advancing Land Productivity Monitoring with Global 30m LPD

Supporting UNCCD Reporting and SDG 15.3.1 with High-Resolution, Transparent Data Solutions

In a major step forward for land degradation monitoring, Apacheta, in collaboration with the Center for Biodiversity and Sustainability (CBAS) and WOCAT – World Overview of Conservation Approaches and Technologies, has co-authored a new global study introducing the FAO-WOCAT Global 30m Land Productivity Dynamics (LPD) dataset.

This high-resolution dataset addresses a key challenge faced by countries reporting on UNCCD Land Degradation Neutrality (LDN) and SDG Indicator 15.3.1: the need for accurate, high-resolution, and globally consistent land productivity data.

Developed with the support of GEO LDN Working Group 4, the dataset leverages Landsat-8 and MODIS time series via Google Earth Engine (GEE) to track changes in land productivity from 2000–2023 at a 30m resolution, offering unprecedented spatial detail and temporal consistency.

🔗 Read the full paper: FAO-WOCAT Global 30m LPD Study  Lead authors: Xiaosong Li, Tong Shen, Cesar Luis Garcia, Ingrid Teich, Yang Chen, Jin Chen, Amos Kabo-bah, Ziyu Yang, Xiaoxia Jia, Qi Lu, Mandakh Nyamtseren.