Hyperion HDF4 files will have the following band order: Bands 1-59 and 71-81 have gain values of 0.025, while bands 60-70 and 82-242 have gain values of 0.0125. 286 september 2013 jianjun wang unsupervised detection of opium poppy fields in afghanistan from eo-1 hyperion data Tutorial files are available from our website or on the ENVI Resource DVD in the hyperspectral directory. Canopy water content, to show the concentration of water.
Data load. Riley, J. You will not perform these steps in this tutorial. "Detection of changes in leaf water content using near- and middle-infrared reflectances." To run FLAASH, you must purchase a separate license for the Atmospheric Correction Module:FLAASH and QUAC. Follow these steps to create a forest health map:
For the purpose of this work the level 1R data of Kozhikode, Kerala is downloaded from the Earth explorer site provided by USGS. Click OK in the Edit Bad Bands List values dialog, then again in the Header Info dialog. Enter an output filename of HighMSI.shp, and click OK. Healthy vegetation is colored green. The Radiometric Calibration tool will apply the gain values mentioned in the View Metadata section above, then it will multiply the pixel values by 0.1 so that they will be in units of W/(cm2 * sr * nm), which is required for input to FLAASH. FLAASH is a model-based radiative transfer program developed by Spectral Sciences, Inc. 2.
Other bands in this image have severe noise that correspond to strong water vapor absorption; these bands are typically removed from processing (Dat et al., 2003):
You will highlight the highest pixel values, which correspond to the end of the narrow histogram that is displayed. ENVI offers several narrowband vegetation indices, which indicate the overall amount and quality of photosynthetic material and moisture content in vegetation. You will need this date and time later in FLAASH. So you will retrieve water vapor and aerosols in the steps below. FLAASH processing may take several minutes. In these steps, you will use FLAASH to remove atmospheric effects from the image and to create an apparent surface reflectance image. Close the Metadata Viewer. Explore the image in more detail using the navigation tools in the toolbar. Network Program of Imaging Spectroscopy and Applications NISA 2016 (Dec 20-24, 2016) Professor K. V. Kale 1 Design and Development of Hyperspectral Data Analysis Tool ATCOR-3 is the right tool for processing Hyperion data. 4. "Detecting vegetation leaf water content using reflectance in the optical domain." Display an OSX, UNIX X-window. Scroll to the top of the band list. EO-1 Hyperion image in ENVIraster format with 242 spectral bands at 30 m spatial resolution, acquired on 20 July 2013. Calibrating imagery to surface reflectance also ensures consistency when comparing indices over time and from different sensors. M. K. Mohan and Dr. Geetha Srikanth, Pre-processing of hyperspectral data (EO-1 Hyperion): A case study of Kozhikode in Kerala, International Journal of Applied Engineering Research, vol. "Remote sensing in entomology." The flow chart of the detailed methodology is given in fig. Accept the default value of 1135 nm for Water Absorption Feature.
The second step was to correct the radiance
It is good at detecting pest and blight conditions in a forest as well as assessing areas of timber harvest. Description
Then hold down the Ctrl key again and de-select the next group of bad bands.1-758-76121-126167-180222-242
We will not correct for these vertical stripes in this tutorial. Disable the Display result option. The tool uses the following vegetation index categories:
This location contains unhealthy conifer trees. This particular Hyperion scene was chosen for the tutorial because it shows evidence of widespread insect damage from the Mountain Pine Beetle and Western Balsam Bark Beetle. Compare this with the vegetation index images you created earlier. Pre-processing. In the File Selection dialog, the file HyperionForest.dat is already selected. Scroll to the right until you see the Radiance Gains and Radiance Offsets fields. The estimated time to complete this tutorial is two hours. Physiologia Plantarum 106 (1999): 135-141. Posted on May 20, 2013 by xiong. In general, the slope of the red edge has decreased significantly and the 1450 nm water absorption feature is not as prominent, indicating lower moisture content. By blamannen | Published 2011/05/01 | Full size is 400 400 pixels Hyperion_fPCA_b20. At the time of data acquisition cloud cover was less than 25%. ENVI treats this as a pseudo projection. You will learn how to pre-process the imagery and how to create vegetation indices that exploit specific wavelength ranges to highlight areas of stressed vegetation. 3.1 Data Used The EO-1 Hyperion image (path/row: 147/43) acquired on March 08, 2013, was taken for this study. Beetle damage is likely responsible for the dying conifers in this region. To run FLAASH, you must purchase a separate license for the Atmospheric Correction Module:FLAASH and QUAC. You wont regret it! ENVIdoes not have tools to orthorectify Hyperion data. Atmospheric correction was carried out using ACORN 1.5 pb. Click Apply. Hold down the Ctrl key on your keyboard. Enter Jul 20, 2013. One option is to use the Image to Map Registration tool to create ground control points for image-to-map registration.
These are ENVI library routines used to extend ENVI functionality. Designate Bad Bands
"Remote sensing for crop management." FLAASH automatically determines the scene's center geographic coordinates, so you do not need to enter these values. Next, you will create a raster color slice that highlights the highest pixel values in the MSI image. Output Envi Mask image 4. "Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes." Rock. Use ENVI 5.2 or later. The resulting image does not automatically display. The Radiometric Calibration tool will apply the gain values mentioned in the View Metadata section above, then it will multiply the pixel values by 0.1 so that they will be in units of W/(cm2 * sr * nm), which is required for input to FLAASH. In the Go To field in the toolbar, enter the following pixel coordinates: 10, 762. If you select 1135 nm or 940 nm, and the feature is saturated due to an extremely wet atmosphere (unlikely for this location), then the 820 nm feature would be used in its place. Various destriping algorithms are available and described in remote sensing literature. 2. It should be 2013-07-20T17:36:52Z. From the Atmospheric Model drop-down button, select U.S. Standard. Redondo Beach, CA: TRW Space, Defense & Informations Systems (2001). ENVI (an acronym for "ENvironment for Visualizing Images") is a software application used to process and analyze geospatial imagery. "A new reflectance index for remote sensing of chlorophyll content in higher plants: tests using Eucalyptus leaves." Open the Data Manager, scroll to the bottom of the file list, and select the. The Hyperion Tools plugin for ENVI allows you to ingest L1R, L1G, and L1T Hyperion datasets as well as perform several useful preprocessing steps. The following screen shot shows an example of de-selecting the bad bands:
This pixel represents healthy vegetation, which is bright pink in a false-color display.
Click the Coordinate System, then Geo Points categories. Hyperspectral sensors typically include enough information needed to estimate water vapor and aerosols in the atmosphere. You will learn how to pre-process the imagery and how to create vegetation indices that exploit specific wavelength ranges to highlight areas of stressed vegetation. Next, you will use the Forest Health tool to look for areas with high stress conditions. If the Auto Display Method for Multispectral Files preference is set to True Color, the image is displayed using bands 29 (red), 20 (green), and 12 (blue) to yield an approximate true-color representation: Note: This particular file is from 2013 and is used with ENVI5.2. The spectral resolution of Hyperion imagery allows you to examine the red-NIR spectrum in more detail, which helps to identify areas of stressed vegetation. In the Toolbox, type edit. Define Output Files
Close both FLAASH dialogs. A collection of resources for ENVI users: custom tasks, extensions, and example models. Leaf pigments, to show the concentration of carotenoids and anthocyanin pigments for stress levels. References
Accept the default values for all remaining fields. Later when you calibrate the data, the ENVIRadiometric Calibration tool will multiply a gain value of 0.025 to each pixel in this band range, which is the same as dividing each pixel by 40. This location contains unhealthy conifer trees. Ceccato, P. et al. Brighter pixel values indicate more water deficiency. Files Used in this Tutorial
Hyperion satellite data was pre-processed in ENVI 4.7 software [14]. In the Output Directory for FLAASH Files field, type the full path of the directory where you want to write all other FLAASH output files. Follow these steps to create a forest health map: The Forest Health image does not provide any quantitative measures of vegetation stress; instead, it shows the relative amounts of forest vegetation health from 1 (unhealthy) to 9 (healthy). Highlight the Raster Color Slice layer in the Layer Manager, then adjust the Transparency slider in the toolbar to see through the color slice to the surface reflectance image underneath. Processing was done using ENVI 5.0 while Arc Map 10.2.1 was used for creation of GIS layers and map composition. The header file uses the same name as the image file, with the file extension .hdr. It uses MODTRAN4 radiation transfer code to correct images for atmospheric water vapor, oxygen, carbon dioxide, methane, ozone absorption, and molecular and aerosol scattering. Various destriping algorithms are available and described in remote sensing literature.
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