ReCaREDD

Roadless

TREES-3




Software
IMPACT Toolbox

IMPACT Toolbox offers a combination of remote sensing, photo interpretation and processing technologies in a portable and stand-alone GIS environment, allowing non specialist users to easily accomplish all necessary pre-processing steps while giving a fast and user-friendly environment for visual editing and map validation. No installation or virtual machines are required.


Quick Data Visualization
  • Raster and vector visualization
  • Adjustable bands and stretch
  • Fast rendering with tiling approach
  • Data auto-load and refresh
  • Processing buttons for easy access
Map Visualization & Editing
  • Easy and efficient editing environment
  • Selection and recoding by:
    - class or cluster
    - single or multi polygon
  • 1 click edit
  • Class masking / showing
  • Customizable legend
  • On the fly .dbf file editing
Ground Truth Collection

Collection of ground truth data at local, national or global scale is now faster with a built-it feature editor supporting either systematic samples collection or wall-to-wall feature labeling.
  • Built-it degradation menu with identification of location, causes and intensity
  • Customizable legend

DOWNLOAD: IMPACT Toolbox 335.1 MB
Documentation: Wiki

Changelog (Version 3.1.3b - 21/03/2016)

  • Landsat Collection 1 support
  • New Degradation tool
  • New Raster Recoding tool
  • New Kmeans classification tool
  • New Principal Component Analysis (PCA) tool
  • General user interface simplification
  • Overall performance improvements
  • Bug fixes

Changelog (Version 2.1.14b - 17/11/2016)

  • Improved Forest Degradation module
  • 1 Click Unzip, Layerstak and Toa-Reflectance conversion (Landsat, Sentinel2 and RapidEye)
  • Raster conversion tool: change projection, size, nodata, format, dataType, value
  • Add user defined output EPSG for Sentinel2
  • Add random sample selection option in fishnet module
  • Classification: add clouds kernel size and palette color option

Changelog (Version 2.1.5b - 09/06/2016)

  • Enhanced support for ESA's Sentinel 2A images
  • New forest degradation detection tool
  • New spatial and temporal image mosaicing tool
  • New image pan-sharpening tool
  • Vector to raster conversion tool
  • Bug-fixes
  • New self-extracting release
  • New self-updating release
  • 64bit version only - last 32bit updated version (v.1.5.1b) available in "Previous Releases" section

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Phenology Based Synthesis Classification Using Google Earth Engine

Accounting for seasonality when mapping land cover using satellite images

Vegetation seasonality, particularly in the tropical dry regions, can cause conventional land cover classification that rely on satellite data to “misclassify” land cover types, because a single satellite image might reflect only a particular stage within a natural phenological cycle. To address this, we developed a phenology-based synthesis (PBS) classification algorithm that maps land cover by analysing full time series, rather than temporal composites, of satellite images using the Google Earth Engine cloud computing platform. The PBS classifier operates through occurrence rules applied to a series of single date image classifications of a study area to assign the most appropriate land cover class. Since the launch of Landsat 8 in 2013, every point on Earth is imaged every 16 days with exceptional radiometric quality. By feeding Landsat 8 data to a PBS classifier, we mapped the land cover of four protected areas and their 20-km buffer zones in different ecoregions of Sub-Saharan Africa.

The Google Earth Engine script of the PBS classifier can be found here (for GEE trusted user only)

Validation of the maps through a visual interpretation of coincident very high resolution images and a web-GIS showed that the combined overall accuracy exceeded 90 %. The Sentinel 2 satellites will drastically increase the frequency of global image acquisitions, which, along with the Landsat 8 programme and open data policies, will enable near real-time monitoring of Earth’s surface at a 10-30 m resolution. Using the first series of Sentinel 2a images over one of the test areas, we demonstrate that Landsat 8 and Sentinel 2 data streams can be jointly exploited by PBS classification to provide exceptional spatial and temporal detail for the mapping and monitoring of global land cover.



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JRC Land Cover/Use Change Validation Tool

The JRC TREES-3 project aims at estimating forest cover changes at continental and regional levels for the tropical belt for the periods 1990-2000 and 2000-(2005)-2010 based on a systematic sample of forest cover change maps. An operational system has been developed for the processing and change assessment of a large data set of multi-temporal medium resolution imagery (sample units of 20 km x 20 km size analysed from with Landsat imagery). The main task is to assess as accurately as possible for each sample unit the forest cover and forest cover change between two dates.

The analysis includes a crucial final step of visual verification and final assignment of land cover labels which is carried out by forestry national officers or remote sensing experts from tropical countries. The visual interpretation is conducted interdependently on two-date imagery to verify and to adjust the labels pre-assigned to each segment for the different dates. A dedicated stand-alone application has been developed for this purpose. The application is a graphical user interface, called the JRC Land Cover Change Validation Tool. The aim of this tool is to provide a user-friendly interface, with an optimised set of commands to navigate through and assess a given dataset of satellite imagery and land cover maps, and to correct easily the land-cover labels as appropriate. FAO is collaborating with JRC in this work under the Global Forest Resource Assessment (FRA) Remote Sensing Survey. JRC has added functionality to the tool to enable labelling of land-use classes that are part of the FRA classification.

The technical document, entitled “User Manual for the JRC Land Cover/Use Change Validation Tool” describes the steps for the installation of the tool on a personal computer, as well as the detailed features of this dedicated graphical user interface. The authors welcome feedback from potential users of the tool, in particular reporting of any potential software issue or providing suggestions for improvements of future versions of the tool.

Downloads

Validation Tool  41.7 MB
User Manual - EN  6.5 MB - other languages

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