Land use

"The purpose to which the land cover is committed. Some land uses, such as agriculture, have a characteristic land cover pattern. These usually appear in land cover classifications. Other land uses, such as nature conservation, are not readily discriminated by a characteristic land cover pattern. For example, where the land cover is woodland, the land use may be timber production, grazing or nature conservation." (Australian Government, 2019) 

Sources

Australian Government. 'Definitions', in Land Management, Department of Agriculture and Water Resources. Accessed March 3, 2019. Available at: http://www.agriculture.gov.au/abares/aclump/definitions

Related Content

Article

Monitoreando la escorrentía mediante datos de observación de la Tierra

Translated by Isabel Zetina

Cuando la lluvia cae sobre la Tierra, el agua empieza a moverse y a fluir cuesta abajo a través de alcantarillas y ríos en forma de escorrentía. La escorrentía es extremadamente importante para recargar las masas de agua de la superficie y las aguas subterráneas. Además, la escorrentía modifica el paisaje por acción de la erosión. Es una parte integral del ciclo del agua (Earth Science Data Systems 2021). 

Monitoring River Delta Using Remote Sensing

Since ancient times, people have established communities in river deltas because it provides water, fertile land, and transportation access, making them an ideal place to live. This pattern has been carried forward to the present. With nearly 6 billion people living in river deltas, they are one of the most densely populated places on Earth (Kuenzer and Renaud, 2011). However, they are facing threats such as climate change, sea level rise, land use changes, and ecosystem degradation.

Monitoring runoff using Earth observation data

When rain falls on Earth, the water starts moving and flowing downhill through sewers and rivers as runoff. Runoff is extremely important to recharge surface water bodies and groundwater. Furthermore, runoff changes the landscape by action of erosion. It is an integral part of the water cycle (Earth Science Data Systems 2021). 

Interview with Webster Gumindoga, PhD Student at University of Twente and Lecturer at the University of Zimbabwe

Webster is a PhD student at the University of Twente’s Faculty of Geoinformation Science and Earth Observation. His PhD thesis is entitled: Observing Zambezi Basin from Space: Satellite based bias correction for hydrological modelling: Webster is also lecturer and researcher at the University of Zimbabwe’s Construction and Civil Engineering Department. He is the coordinator of the regional master’s degree programme in Integrated Water Resources Management, a capacity building programme for the water sector in Southern and Eastern Africa. His research interests are in the areas of GIS and Earth Observation applications in water resources management, sanitation, water quality and disaster management. He is also a consultant who has been seconded as a GIS mentor to many government institutions and developmental partners in Southern Africa. Webster has over 60 publications, numerous regional and international conference papers in areas of spatial and quantitative hydrology, water resources management, quantification of water cycle components and feedbacks between climate, land-uses, water cycles and other societal influences. Webster is the Chief Editor of the Journal of Environmental Management in Zimbabwe (JEMZ).

Interview with Webster Gumindoga, PhD Student at University of Twente and Lecturer at the University of Zimbabwe

Webster is a PhD student at the University of Twente’s Faculty of Geoinformation Science and Earth Observation. His PhD thesis is entitled: Observing Zambezi Basin from Space: Satellite based bias correction for hydrological modelling: Webster is also lecturer and researcher at the University of Zimbabwe’s Construction and Civil Engineering Department. He is the coordinator of the regional master’s degree programme in Integrated Water Resources Management, a capacity building programme for the water sector in Southern and Eastern Africa. His research interests are in the areas of GIS and Earth Observation applications in water resources management, sanitation, water quality and disaster management. He is also a consultant who has been seconded as a GIS mentor to many government institutions and developmental partners in Southern Africa. Webster has over 60 publications, numerous regional and international conference papers in areas of spatial and quantitative hydrology, water resources management, quantification of water cycle components and feedbacks between climate, land-uses, water cycles and other societal influences. Webster is the Chief Editor of the Journal of Environmental Management in Zimbabwe (JEMZ).

Launch of Zimbabwe's first Satellite ZIMSAT - 1

What began as the development of a cubesat (BIRD-5) at the Kyushu Institute of Technology in Japan took off on a spacecraft to the International Space Station from the Mid-Atlantic Regional Spaceport at the National Aeronautics and Space Administration's (NASA's) Wallops Flight Facility in Virginia, US on 6 November 2022 (watch the video of the launch of the CRS2 NG-18 (Cygnus) Mission (Antares), in the video below the article).

Event

Local Perspectives Case Studies

Stakeholder

Space and Upper Atmosphere Research Commission

Realizing the importance of Space Science and Technology applications for sustainable national development, the Government of Pakistan established Pakistan Space and Upper Atmosphere Research Commission. Being the National Space Agency of Pakistan, SUPARCO is mandated to conduct research and development work in the field of space science, technology and its applications for peaceful purposes and socio-economic uplift of country. Its headquarter is located at Islamabad and technical facilities are spread over Karachi, Lahore, Multan, Quetta, Peshawar and Gilgit.

Remote Sensing, GIS and Climatic Research Lab, University of the Punjab

The emerging demand of GIS and Space Applications for Climate Change studies for the socio-economic development of Pakistan along with Government of Pakistan Vision 2025, Space Vision 2047 of National Space Agency of Pakistan, and achievement of UN Sustainable Development Goals (SDGs) impelled the Higher Education Commission of Pakistan (HEC) to establish Remote Sensing, GIS and Climatic Research Lab (RSGCRL) at University of the Punjab, Lahore, Pakistan.

Person

Software/Tool/(Web-)App

LandMonitoring.Earth

At the occasion of the ‘European Land Monitoring at its crossroads’ conference held in Innsbruck, Austria, in October 2018, GeoVille has released an update of the LandMonitoring.Earth public portal.

Earth Observation Data Analysis Library

Imagery from Earth observing (EO) satellites combined with environmental data about climate, topography and soils holds great potential to advance our knowledge about the dynamics of our planet. Still, the handling and analysis of these data sources is cumbersome and presents a high barrier to entry leaving the potential of EO data underexploited.

Space-based Solution

Collaborating actors (stakeholders, professionals, young professionals or Indigenous voices)
Suggested solution

Note: this description is a work in progress developed by the collaborating entities in a workshop. If you would like to contribute reach out to office@space4water.org, or your trusted Space4Water point of contact.

The solution approach begins with identifying the region's main rivers and understanding their hydrology using mapping and geoprocessing tools. After understanding the hydrography of the area and mapping the surface water extent river course through the building a hydrographic dataset, multiple image sources are used to map the historical land use and land cover surrounding the river.

1. Resources needed

Software

  • QGIS https://www.qgis.org/en/site 
  • TerraHidro 5 - Console applications https://www.dpi.inpe.br/terrahidro/doku.php
  • PostgreSQL https://www.postgresql.org
  • PostGIS Spatial Database System  https://postgis.net/
  • PgHydro extension for PostgreSQL/PostGIS http://pghydro.org/
  • PgHydro Plugin for QGIS https://plugins.qgis.org/plugins/PghydroTools/

Data

Forest And Buildings removed Copernicus DEM

Publications

see reference in the bibliography below.

2. Steps to the solution & status

Overivew

  1. Plot the Region of Interest (completed)
  2. Identify the region's main rivers and understand their hydrology (completed);
  3. Identify the region's potential flood areas using H.A.N.D.;
  4. Build a hydrography dataset (completed);
  5. Identify multiple image sources for land cover analysis (completed);
  6. Map the historical land use and land cover surrounding the river (in progress);

Step-by-step

1. Plot the Region of Interest (completed)

  1. Download and install QGIS to plot the KML files of the region of interest
Example KML plot of the strip of land of the Maori communtiy who submitted the challenge
Figure 1: Example KML plot of the strip of land of the Maori communtiy who submitted the challenge

 

2. Identify the region's main rivers and understand their hydrology (completed)

  1. Download the FABDEM data for the Region of Interest.
    FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation map that removes building and tree height biases from the Copernicus GLO 30 Digital Elevation Model (DEM) (https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7).
     
    A FEABDEM Digital Elevation Model of the Ngutunui region, New Zealand.
    Figure 2: A FEABDEM Digital Elevation Model of the Ngutunui region, New Zealand.

     
  2. Download and Install TerraHidro 5 - Console applications (https://www.dpi.inpe.br/terrahidro/doku.php) to extract the hydrograph products derived from the FABDEM to understand the hydrography setup of the area (Flow direction, flow accumulation and drainage lines and areas, H.A.N.D.).
     
    Flow direction in the Ngutunui region, New Zealand
    Figure 3: Flow direction in the Ngutunui region, New Zealand
    Flow accumultation in the Ngutunui region, New Zealand
    Figure 4: Flow accumultation in the Ngutunui region, New Zealand
     
    Sintetetic drainage lines and areas
    Figure 5: Sintetic draingage lines and areas Ngutunui region, New Zealand

     

3. Identify the region's potential flood areas using H.A.N.D.

Building on Nobre et. al (2011) in which the HAND terrain model that "normalizes topography according to the local relative heights found along the drainage network, and in this way, presents the topology of the relative soil gravitational potentials, or local draining potentials" is introduced by the authors.

Height Above the Neaerest Drainage (HAND)in the Ngutunui reiong,
Figure 6: Height Above the Neaerest Drainage (HAND) in the Ngutunui region showng the areas for potential flooding in darker blue. In the current map this is in the bottom right quarter of the image.

 

4. Build a hydrography dataset (completed)

  1. Download and instal PostgreSQL/PostGIS Spatial Database System (https://www.postgresql.org/) (https://postgis.net/), PgHydro extension for PostgreSQL/PostGIS (http://pghydro.org/) and PgHydro Plugin for QGIS;(https://plugins.qgis.org/plugins/PghydroTools/).
  2. Build the Hydrograph Dataset;(https://www.youtube.com/channel/UCgkCUQ-i72bBY41a1bhVWyw) using the Drainage Lines and Drainage Areas extracted from FABDEM;
  3. Information like drainage area, upstream area, drainage line length and distance to sea information are now available.
     
    Hydrography dataset of the Ngutunui region in New Zealand
    Figure 7: Hydrography dataset of the Ngutunui region in New Zealand

     

5. Identify multiple image sources for landing cover analysis (completed);

  1. To collect historic and high-resolution up-to-date imagery over the area, UNOOSA contacted the Land and Information New Zealand Data Service, which provided both historical aerial imagery and LIDAR data sources.
  2. Historic data for the relevant land patch can be accessed via the Retrolens New Zealand Service (https://retrolens.co.nz/Map/#/1784971.9859981549/5783474.532151884/1786387.2653498782/5784857.564632303/2193/12).
  3. Up-to-date aerial photos of the area can be accessed here at the New Zealand Data Service. Tile 503 and 603 are the ones of interest (https://data.linz.govt.nz/layer/112048-waikato-03m-rural-aerial-photos-index-tiles-2021-2023/history/).
  4. Relevant Landsat data are available from 1989. For the study area, Landsat 7 data is available from 2 July 1999, and Landsat 4 from 2 February 1989;
  5. Google Earth Engine Apps - Global Forest Change (https://google.earthengine.app/view/forest-change)

6. Map the historical land use and land cover surrounding the river (in progress);

Relevant publications
Related space-based solutions
Keywords (for the solution)
Climate Zone (addressed by the solution)
Habitat (addressed by the solution)
Region/Country (the solution was designed for, if any)
Relevant SDGs