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Monday, August 3, 2020 | History

1 edition of Runoff curve numbers for rangeland from Landsat data found in the catalog.

Runoff curve numbers for rangeland from Landsat data

by Adrian W. Zevenbergen

  • 361 Want to read
  • 28 Currently reading

Published by Hydrology Laboratory, Agricultural Research Service, U.S. Dept. of Agriculture in Beltsville, Md .
Written in English

    Subjects:
  • Runoff,
  • Mathematical models,
  • Rangeland Hydrology,
  • Landsat satellites,
  • Remote sensing

  • Edition Notes

    StatementAdrian W. Zevenbergen
    SeriesHydrology Laboratory technical report -- HL85-1, Hydrology Laboratory technical report -- 85-1.
    The Physical Object
    Pagination49, 24 p. :
    Number of Pages49
    ID Numbers
    Open LibraryOL26452853M
    OCLC/WorldCa34736883

    Downloading Landsat data The USGS provides Landsat 5 TM data in geoTiff (TIFF) format. As the Landsat satellite passes over Earth, the area can be identified by the path and row combination. Our study area is under the path 29 row This is the southeastern part of Nebraska and Landsat passes over this area at approximately Size: 3MB. impervious area for the state increased , ha, from to % of the total land area. The Landsat-based processing and classification provides critically important, consistent and multi-date, data for any area of Minnesota. It is envisioned that this data and updates, will be the foundation of Minnesota’s stormwater management efforts.

    A Landsat 4 or 5 TM scene has an instantaneous field of view (IFOV) of 30 meters by 30 meters ( square meters) in bands 1 through 5 and band 7, and an IFOV of meters by meters (14, square meters) on the ground in band 6. All TM bands are quantized as 8 bit data. Sensitivity and Resolution Applied to Landsat 4/5 TM Missions. First, the data was put into a GIS with the watershed bounds and flow-accumulation derived. The data were processed and rescaled to fit a geocorrected image of the Embudo watershed, then in Northern New Mexico. Once this was done a vegetative land cover of the area was classified in .

    Sentinel 2 Science for Rangeland Applications: A Case Study from Alberta Canada Michael J. Hill1 and Anne M. Smith2 2Earth System Science and Policy, University of North Dakota, Grand Forks, ND, USA 2Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada Sentinel 2 for Science Workshop ESA/ESRIN, Size: 4MB. The Operational Land Imager (OLI) is a pushbroom sensor that will be a part of the Landsat Data Continuity Mission (LDCM). This instrument is the latest in the line of Landsat imagers, and will continue to expand the archive of calibrated earth imagery. An important step in producing a calibrated image from instrument data is accurately accounting for the bias of the imaging detectors.


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Runoff curve numbers for rangeland from Landsat data by Adrian W. Zevenbergen Download PDF EPUB FB2

Abstract. ABSTRACT: A widely used method of calculating storm runoff developed by the Soil Conservation Service (SCS) uses storm rainfal and a curve number. A curve number is a quantitative descriptor of the land cover/soil complex and is commonly assigned based on information acquired from field surveys and interpretations of aerial photographs.

Based on the information of soil and land cover, curve numbers were calculated for each grid cell using the NRCS National Engineering Handbook (NEH 4) guidelines.

Using the grids of runoff curve number, runoff depth was calculated for the case of mm of rainfall, which is a 10 year h rain fall for the SA by: Curve Number Determination Methods and Uncertainty in Hydrologic Soil Groups from Semiarid Watershed Data.

from Landsat data. “ Runoff curve numbers from rangeland from. The CN based on LULC, observed rainfall-runoff data and on slope are compared.

• The regression equation predicting CN (LU) with time (year) can be used effectively to calculate runoff potential. CN (LU) and CN (PQ) values shows close agreement and validates source of both the data. CN should be modified for the effect of LULC and land slope for micro watershed by: “A computer based approach to estimating runoff curve numbers using Landsat data”, AgRISTARS Technical.

Report. Report. CR-R, USDA Hydrology Laboratory, Beltsville, MD. In this study a large data set was used to develop a better understanding of the land use variable as it applies to the Curve Number method of modeling storm runoff.

Data-derived CNs for The Landsat-7 Science Data User’s Handbook is a living document prepared by the Landsat Project Science Office at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. The purpose of this technical document is to provide a basic understanding of the joint NASA/USGS Landsat 7 program and to serve as a comprehensive resource for the.

composite of runoff curve number calculation. METHODS In this research, newly designed technological methodologies were proposed for mapping urban land use / land cover using QuickBird NDVI imagery and developing GIS spatial modeling for generating the composite of curve numbers in the TR table, NRCS () publication.

Next, open the post-fire landsat data to calculate post-fire NBR. If you want to use the post-fire data to CROP the pre fire data you may do this in a different order. Then you calculate NBR on the post data - note the code here is purposefully hidden. You need to figure out what bands to use to perform the math.

Hawkins, R. (b). “Asymptotic determination of curve numbers from rainfall-runoff data.” Symposium Proceedings, Watershed Planning and Analysis in action, Durango CO. American Society of Civil Engineers, New York, 67– The Landsat program is the longest-running enterprise for acquisition of satellite imagery of is a joint NASA/USGS program.

On J the Earth Resources Technology Satellite was launched. This was eventually renamed to Landsat. The most recent, Landsat 8, was launched on Febru The instruments on the Landsat satellites have acquired millions of images.

Landsat Update Volume 6 Issue 5, Landsat Mission News Landsat 5 Decommission Plans LDCM Arrives at Vandenberg AFB New Landsat Science Team Announced The Level 1 Data Format Control book describes data products available to the user community.

The Level 0 Reformatted (L0R) Data Format Control Book will describe the state of the data. land-cover information derived from digital processing of Landsat spectral data. The purpose of this report is to summarize the procedures and significant results of this study.

The digital image analysis of Landsat spectral data was performed in the Data Analysis Laboratory, EROS Data Author: E.F.

Hollyday, G.R. Hansen. • Measuring changes and extent of glacial features. Contributor: Robert Bindschadler, NASA Goddard Space Flight Center The stability of the West Antarctic Ice Sheet is an issue of active research and societal concern because of the potential economic impact resulting from an increase in global sea level.

spectral data as a complementary soil map­ ping tool. The same Landsat data and processing described for the Winkelman area was also used in this study. Four soil scientists from BLM, SCS.

and the FS were provided with spectral data information and asked to evaluate its use in mapping the soils of the area. Improved Data from Landsat 8. Landsat 8 (fig. 1) ensures the continued acquisition and availability of Landsat data, which will be consistent with cur-rent standard Landsat data products.

About scenes will be acquired each day. All scenes are processed to data products and are available for download within 24 hours of reception and archiving. I want to perform a time series analysis of Landsat NDVI.

I could not find a prepared product online (except in GE Engine but it is no possible to download). Thus I would like to calculate the NDVI in batch, possibly applying a rule to keep the filename (I need the reference of the date). According to the USGS background data on Landsat 8 Product, the tiles are provided as Digitial Numbers bit unsigned integer format.

The current examples (tutorials and reference material) that I've found to calculate NDVI use Landsat 5 + 7 which is stored as 8-bit unsigned integer s: 9.

Landsat 5: Radiance/Reflectance Calculation Comparison Contrary to expectations, NASA does include solar angle in its reflectance calculations. However, there are small differences between ENVI calibrated values and manually calculated values for both radiance and reflectance.

The discrepancies in the reflectance values are greaterFile Size: KB. Comparison of measured suspended sediment concentrations with suspended sediment concentrations estimated from Landsat MSS data.

JERRY C. RITCHIE & CHARLES M. COOPER. Rangeland runoff curve numbers as determined from Landsat MSS data. ZEVENBERGEN, A. RANGO, J. RITCHIE, Book reviews. Response Linearization Look Up Tables (RLUT) are additional files that accompany Calibration Parameter Files (CPF) and contain a mapping look up table to linearize the output of the Landsat 8 OLI and TIRS detectors.

This is done to increase the range of Digital Number (DN) values for preciseness and limit the number of saturated pixels to true.I'm doing a temporal analysis of NDVI and temperature over 17 years, necessitating data from Landsat 5,7, & 8.

I'm interested in using level-2 Landsat data available from NDVI FROM LANDSAT 8 VEGETATION INDICES TO STUDY MOVEMENT DYNAMICS OF CAPRA IBEX IN MOUNTAIN AREAS Francesco Pirotti a* Maria A. Parraga b, Enrico Stuaro b, M arco Dubbini b, Andrea Masiero a, Maurizio Ramanzin b a CIRGEO Interdepartmental Research Center of *HRPDWLFV 8QLYHUVLWjGHJOL6WXGLGL3DGRYD YLDOHGHOO8QLYHUVLWj Legnaro (PD) Italy ± Cited by: 6.