Source - GLAD uses imagery from NASA’s Landsat satellites to automatically flag areas where the forest canopy has been disturbed

Every six seconds the world loses one football pitch worth of tropical primary forest. Knowing when and where deforestation is happening as soon as possible is crucial to stopping it. The GLAD alert system devised by the University of Maryland’s Global Analysis and Discovery (GLAD) lab uses satellite imagery to collect weekly data on deforestation across the tropics.

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To watch tree cover loss Sri Lanka Click HERE

Source - University of Mrayland - Published by Hansen, Krylov, Tyukavina, Potapov, et al.

Since the opening of the Landsat archive in 2008, medium spatial resolution data have been available for use in alert-based applications. Since 2013, two Landsat sensors, the Enhanced Thematic Mapper Plus (ETM+) onboard Landsat 7, and the Operational Land Imager (OLI) onboard Landsat 8, have been systematically acquiring global multi-spectral observations at a 30m spatial resolution. The orbits of the two spacecraft are coordinated to enable potential 8-day repeat coverage globally. Given this cadence, the use of Landsat as a near-real time source of land change information is possible. The data displayed and made available here quantify forest disturbance events for the tropics using Landsat ETM+ and OLI data as an input. Daily updates are made for areas where quality land observations are acquired. We define forest cover as 5m tall trees with a canopy closure exceeding 30%. An alert is defined as any Landsat pixel that experiences a canopy loss in excess of 50% cover. For the full description of forest alert methodology please refer to the following publication: Humid tropical forest disturbance alerts using Landsat data (Hansen et al. 2016).

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Source - UN Habitat

A toolbox with 9 flexible building blocks
Her City supports urban development from a girl’s perspective. We guide urban actors to implement projects through a step-by-step methodology providing an open and digitally accessible platform for all. We facilitate an ongoing dialogue between professionals and citizens.

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Source - https://unhabitat.org/waste-wise-data

Lack of evidence-based data hinders the development of waste management strategies and constrains investment decision-making in infrastructure and service expansion, leading to insufficient or absent MSW management services.

UN-Habitat developed Waste Wise Cities Tool: Step by Step Guide to Assess City Municipal Solid Waste Management Performance through SDG 11.6.1 Indicator Monitoring. SDG indicator 11.6.1 quantifies parameters that will help cities and countries to better manage resources, mitigate and prevent environmental pollution, create business, employment and livelihood opportunities, and shift towards a circular economy.

The methodology to monitor SDG indicator 11.6.1 provides guidelines for ladders for MSW collection services and control level of waste management facilities, and aims to bring standardized definitions, nomenclature and techniques to MSW data collection.

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