Rain water use and storage. Eco friendly sustainable agriculture. Develop waste land, sloppy land and forest land (control of erosion loss Kitchen gardens for nutritional security testing of SRI and mixed cropping). Soil conservation, land shaping, pasture development, vegetative bunding

SLM example from the WOCAT database

SLM example from the WOCAT database

SLM example from the WOCAT database

SLM example from the WOCAT database

Find grants, training courses, vacancies, and other capacity-building opportunities

Visit the page for [term:name] on the UNCCD Knowledge Hub, to find:

• Information about LDN Targets (where applicable)
• UNCCD national Focal Points
• Science and Technology correspondents and the UNCCD Roster of experts
• UNCCD accredited CSOs in [term:name]

Sustainable land management (SLM) refers to practices and technologies that aim to integrate the management of land, water, biodiversity, and other environmental resources to meet human needs while ensuring the long-term sustainability of ecosystem services and livelihoods. Implementing Sustainable Land Management options can contribute to reducing drought risk.

You can find examples from [term:name] in the WOCAT database.

Digital Earth Africa is a free platform for accessing satellite imagery specific to the African continent. To make the satellite data easier to use, Digital Earth Africa translates it into an analysis-ready format to provide insights into land and water resources. The Digital Earth Africa Map portal provides easy access for anyone to visualize and analyze the data. The portal provides technical users with a programming environment to conduct comprehensive analysis.

Digital Earth Africa is a free platform for accessing satellite imagery specific to the African continent. To make the satellite data easier to use, Digital Earth Africa translates it into an analysis-ready format to provide insights into land and water resources. The Digital Earth Africa Map portal provides easy access for anyone to visualize and analyze the data. The portal provides technical users with a programming environment to conduct comprehensive analysis.

The aim of this step-by-step guide, offered on the UN-SPIDER knowledge portal, is to create a standard vegetation index (SVI) timeline based on the MODIS enhanced vegetation index (EVI) product. The SVI is used as it highlights the difference to the mean vegetation status during a given time and therefore provides information about drought-like conditions.

Google Earth Engine (GEE) is a web-platform for cloud-based processing of remote sensing data on a large scale. The advantage lies in its remarkable computation speed as processing is outsourced to Google servers. The platform provides a variety of constantly updated datasets; no download of raw imagery is required. While it is free of charge, one still needs to activate access to Google Earth Engine with a valid Google account. A confirmation is usually received within 2 to 3 working days. 

With drought conditions official, you may be wondering whether or not to bother with a food garden in a drought year. There are water-wise actions that can be employed for a successful harvest. Sonoma County Master Gardeners have produced several documents that address gardening under drought conditions in detail. 

The UFZ Drought Monitor provides daily information on drought and soil moisture throughout Germany. This information is based on simulations using the mHM meso-scale hydrological model developed at the UFZ.

Updated daily, the maps show you the drought status of the soil in its entirety and the topsoil, which reacts more quickly to recent precipitation, and the water available to plants in the soil.

The explanations relating to the individual maps and a download option can be found in the accordion that can be expanded below each map. In addition to the three maps of Germany, you can also access and download maps of each federal state. 

Furthermore, animated maps demonstrate the development of drought over the last 14 days and the development of the quantity of water available to plants in the topsoil.

The aim of this step-by-step guide, offered on the UN-SPIDER knowledge portal, is to create a standardized precipitation index (SPI) timeline based on daily CHIRPS data. The SPI is used as it highlights the difference to the mean precipitation during a given time and therefore provides information about drought-like conditions. The script will be executed within Google Earth Engine and will work on two independent SPI calculations. The first calculation deals with the "common" SPI, which is calculated on an n-months basis. A SPI, which is calculated for one month usually refers to the description of "SPI-1", for six months "SPI-6" and so on. The second SPI calculation is based on MODIS capture dates. As MODIS provides information about the vegetation, it might be useful to compare its vegetation indices with the SPI. Therefore a 16-day SPI is calculated, whose start date matches with MODIS's start date.

Google Earth Engine (GEE) is a web-platform for cloud-based processing of remote sensing data on a large scale. The advantage lies in its remarkable computation speed as processing is outsourced to Google servers. The platform provides a variety of constantly updated datasets; no download of raw imagery is required. While it is free of charge, one still needs to activate access to Google Earth Engine with a valid Google account.