NDGISUC2017 - Bringing Remote Sensing Data to your GIS Application

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The document discusses how remote sensing data from satellites can be brought into GIS applications, noting that moderate resolution data from instruments like MODIS and VIIRS as well as higher resolution ASTER imagery are available from the Land Processes Distributed Active Archive Center. It describes GIS-friendly formats and services like web map services that allow this satellite imagery and derived data layers to be directly used in GIS software, and provides examples of applications like AppEEARS that allow users to extract and explore time series data.

Technology

From Satellites to Maps:
Bringing Remote Sensing Data
to your GIS Application
Lindsey Harriman
NASA LP DAAC Science Integration Lead
SGT, Inc., contractor to the USGS EROS Center
lindsey.harriman.ctr@usgs.gov
*Work performed under USGS contract G15PD00467

Land Processes
Distributed Active Archive Center
LP DAAC
Surface Reflectance,
Land Cover,
Vegetation Indices
Land Processes
Distributed Active Archive Center

Community
MEaSUREs
Terra &
Aqua
MODIS
Terra
ASTER
S-NPP
NASA
VIIRS
Data at the LP DAAC

Moderate Resolution Imaging Spectroradiometer (MODIS)

Visible Infrared Imaging Radiometer Suite (VIIRS)

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)

Bringing to Data to GIS
• GIS Services
•MODIS Web Map Service (WMS)
•Ongoing development for Web Coverage Service (WCS)
• GIS-Friendly Formats
•Georeferenced, full resolution ASTER imagery (GeoTIFF)
•Time series MODIS, SRTM, WELD, and Population data from the
Application for Extracting and Exploring Analysis Ready Samples
(AppEEARS) (GeoTIFF, NetCDF4)

Web Map Service (WMS)
• Available for a selection of MODIS
datasets
• Expanding data offerings in future
• Rolling one-year basis
• Works in ArcGIS, QGIS,
browser – or consume for your
own application!
• Access information:
https://lpdaac.usgs.gov/data_access/web_map_ser
vices_wms

ASTER L1T Full Resolution Browse
Characteristics
• 15 meter, visible browse image
• 90 meter, thermal browse
image
• GeoTIFF in UTM projection
• Terrain corrected
Uses
• Visual inspection of change or
disaster event
• Digitizing land features
• Digitizing infrastructure
• Base map
Download from:
NASA Earthdata Search: https://search.earthdata.nasa.gov/
USGS EarthExplorer: https://earthexplorer.usgs.gov/

Visible and Near Infrared (VNIR) Thermal Infrared (TIR)

AppEEARS (Application for Extracting and Exploring Analysis Ready Samples)

AppEEARS
Point Sampler
User input: Coordinate pairs
• Set temporal constraint
• Select individual data layers
• Automatically receive decoded
quality information

AppEEARS
Area Sampler
User input: Polygons
• Set temporal constraint
• Select individual data layers
• Reformat
• Reproject
• Automatically mosaic
• Automatically receive decoded
quality information

MCD12Q1.2007
MCD12Q1.2008
MCD12Q1.2009
MCD12Q1.2007
MCD12Q1.2008
MCD12Q1.2009

Questions?
List serv: https://lists.nasa.gov/mailman/listinfo/lpdaac
Website: https://lpdaac.usgs.gov

The European Copernicus programme with its Sentinel satellites is one of the most ambitious Earth observation programmes to date with all data being freely accessible. Copernicus addresses several thematic areas including land, marine, atmosphere, climate change, emergency management and security. Different satellite types have been and will be further launched; hence, weather independent Radar data, optical and infrared data are now available. In Europe the revisit time is between 3-5 days, allowing to monitor the same areas at high frequency. Actual land use, forest structure, and vegetation phases can be recorded promptly, to name only a few examples. While the Copernicus program is well perceived in the Earth observation community, the new data sets are still widely unnoticed or underused in the GIS community as well as in public administration, also due to the sheer amount of available data in the Petabyte range and the need of notable computational power. This is a great opportunity for specialized service providers to develop new applications for administration, science, and business in order to find new ways of retrieving information from Petabytes of raw data. In our talk we will present an open source approach to a processing such data in a cloud based system, providing standardized OGC Web Services by GeoServer and MapProxy software. The backend of the system is able to timely post-process and analyze Sentinel data in an automated way using the GRASS GIS and GDAL software. We have developed a REST API based system that allows the user to automatically derive thematic data layers based on algorithms provided by the portal. This greatly simplifies the user’s life since own topical layers can be generated without the need of deep technical knowledge of software, hardware and time series management. We believe that this approach likely widens up the potential user group of the Copernicus program. At the same time, it connects two worlds that are often unnecessarily disentangled: the GIS and the remote sensing communities. The presentation is completed by some examples and practical use cases, illustrating the idea of the workflow and the architecture of the portal.

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