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Description

The Sustainable Development Goals (SDGs) are an urgent call for action by countries to preserve our oceans and forests, reduce inequality, and spur economic growth. The land management SDGs call for consistent tracking of land cover metrics. These metrics include productivity, land cover, soil carbon, urban expansion, and more. This training series led by NASA's Applied Remote Sensing Training program (ARSET) highlights a tool that uses NASA Earth Observations to track land degradation and urban development that meet the appropriate SDG targets. 

SDGs 11 and 15 relate to sustainable urbanization and land use and land cover change. SDG 11 aims to "make cities and human settlements inclusive, safe, resilient, and sustainable." SDG 15 aims to "combat desertification, drought, and floods, and strive to achieve a land degradation neutral world." To assess progress towards these goals, indicators have been established, many of which can be monitored using remote sensing. 

In this training, attendees learn to use a freely-available QGIS plugin, Trends.Earth, created by Conservation International (CI), and includes special guest speakers from the United Nations Convention to Combat Desertification (UNCCD) and UN Habitat. Trends.Earth allows users to plot time series of key land change indicators. Attendees can learn to produce maps and figures to support monitoring and reporting on land degradation, improvement, and urbanization for SDG indicators 15.3.1 and 11.3.1. Each part of the training series features a presentation, hands-on exercise, and time for the speaker to answer live questions.

Prerequisites

Objectives

By the end of this training, attendees will: 

  • Become familiar with SDG Indicators 15.3.1 and 11.3.1
  • Understand the basics on how to compute sub indicators of SDG 15.3.1 such as: productivity, land cover, and soil carbon
  • Understand how to use the Trends.Earth Urban Mapper web interface
  • Learn the basics of the Trends.Earth toolkit including:
    • Plotting time series
    • Downloading data
    • Using default or custom data for productivity, land cover, and soil organic carbon
    • Calculating a SDG 15.3.1 spatial layers and summary table
    • Calculating urban change metrics
    • Creating urban change summary tables

Target Audience

This training will be appropriate for local, regional, state, federal, and international organizations interested in generating data used for SDG reporting with satellite imagery.

Course Format

  • Three 1.5-hour parts

Sessions

Part 1

Tuesday, July 9, 2019

Remote video URL

In this webinar, attendees will learn about the SDG framework and global agency coordination; SDG 15, Target 15.3, and Indicator 15.3.1; the concept of net primary productivity and how to monitor that metric with remote sensing data; and viewing and interpreting remote sensing data associated with SDG 15 within a QGIS tool developed by Conservation International called Trends.Earth as a hands-on activity. We will have a special guest speaker from the United Nations Convention to Combat Desertification (UNCCD). 

Materials

Part 2

Tuesday, July 16, 2019

Remote video URL

In this webinar, attendees will learn about land cover change and soil organic carbon and how to monitor those metrics with remote sensing; learn about country reporting requirements for SDG 15; and view and interpret local remote sensing data associated with SDG 15 within Trends.Earth. 

Materials

Part 3

Tuesday, July 23, 2019

Remote video URL

In this webinar, attendees will learn about SDG 11, Target 11.3, and Indicator 11.3.1; the inputs needed for computing SDG indicator 11.3.1; and viewing and interpreting urban mapping within Trends.Earth. This session features a special guest speaker from UN Habitat. 

Materials

Homework

Citation

(2019). ARSET - Remote Sensing for Monitoring Land Degradation and Sustainable Cities SDGs. NASA Applied Remote Sensing Training Program (ARSET). https://www.earthdata.nasa.gov/learn/trainings/remote-sensing-monitoring-land-degradation-sustainable-cities-sdgs

Details

Last Updated

Jan. 21, 2026

Published

July 9, 2019

Data Center/Project

Applied Remote Sensing Training Program (ARSET)