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Investigation:

LC-22 (DeFries / Shimabukuro)

LBA Dataset ID:

LC22_MODIS_Field_Validation_2005

Originator(s):

1. DeFries-Bajpai, Ruth
2. Shimabukuro, Yosio Edemir
3. Anderson, Liana Oighenstein
4. Coura, Samuel Martins da Costa
5. Espirito-Santo, Fernando Del Bon
6. Hansen, Matthew C.
      7. Jasinski, Ellen W.
8. Latorre, Marcelo Lopes
9. Lima, Andre
10. Morton, Douglas C.
11. Piromal, Rodrigo Sbravatti

Point(s) of Contact:

Morton, Douglas C. (morton@geog.umd.edu)

Dataset Abstract:

The data files and recorded observations included in this data set were collected or created during a field campaign between 17-24 of March, 2005. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season.

Beginning Date:

2005-03-17

Ending Date:

2005-03-24

Metadata Last Updated on:

2010-09-16

Data Status:

In Preparation for Archive

Access Constraints:

Public

Data Center URL:

Distribution Contact(s):

LBA-DIS User Services (lba-dis@cptec.inpe.br)

Access Instructions:

Public

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

Access data via ORNL DAAC:  Search at ORNL DAAC

Citation Information - Other Details:

DeFries, R., Y.E. Shimabukuro, D.C. Morton, E. Arai, F. del Bon Espirito Santo. 2005. LBA-ECO LC-22 Field Validation of MODIS Deforestation/Land Cover Detection Products: 2005 (Wet Season -- Field validation of preliminary MODIS-based wet season deforestation detection products and land cover classification, March 2005. Data set. Available on-line [http://lba.cptec.inpe.br/] from LBA Data and Information System, National Institute for Space Research (INPE/CPTEC), Cachoeira Paulista, Sao Paulo, Brazil.

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND COVER LAND SURFACE LAND USE/LAND COVER FIELD INVESTIGATION HUMAN OBSERVER
LAND COVER LAND SURFACE LAND USE/LAND COVER FIELD INVESTIGATION GPS (GLOBAL POSITIONING SYSTEM)

Uncontrolled Theme Keyword(s):  Field validation, deforestation, ground-truth, land cover , logging

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Mato Grosso Sinop -11.50000 -13.13333 -54.28333 -55.75000

Related Publication(s):

Anderson, L.O., Y.E. Shimabukuro, R.S. DeFries, and D. Morton, 2005: Assessment of land cover and land use changes in the Brazilian Amazon using multitemporal fraction images derived from Terra MODIS: Examples from the state of Mato Grosso. IEEE Geoscience and Remote Sensing Letters, 2(3): 315-318

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

The data files and recorded observations included in this data set were collected or created during a field campaign between 17-24 of March, 2005. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season.



Observations of land cover, deforestation condition, and other forest disturbances (understory fires, logging, etc.) are recorded as tables, text files, and ArcView shapefiles. Paired tables (with descriptions) and shapefiles (with geographic locations) are included in this data set for most items.



Fieldwork was conducted in the regions surrounding Sinop, Mato Grosso, with specific emphasis on large clearings occurring in the Xingu Basin.





GENERAL INFORMATION:


For questions or comments about data file formats, content, or appropriate use or citation of these data, please contact

Douglas Morton (morton@geog.umd.edu) or Ruth DeFries (rdefries@geog.umd.edu). Also, please see additional data sets from the LC-22 project team for similar observational data and data products.





Data sets and Descriptions:


Data files have been provided in ArcView shapefile format. Tables are provided in both Microsoft Excel (.xls) and the more generic Database (.dbf) file format.



covertype_mar05.shp</b>


This shapefile contains 167 land cover type polygons of pasture and agricultural fields. Polygon boundaries were digitized over 2004 Landsat TM imagery to match field observations. Where appropriate, specific agricultural crops were recorded for each field. These observations are specific to the field observation window--agricultural practices are dynamic and highly variable in Mato Grosso. Field notes are also listed in the table (.dbf) file for the ArcView shapefile.



Projection/Datum Seno (MODIS sinusoidal, meters, radius of sphere=6371007)





logging_areas.shp</b>


Four areas that were initially identified as potential wet-season deforestation were logged, but not completely cleared.

These polygons are isolated in this shapefile as a means for validating future deforestation detection algorithms and

to help characterize the spectral and temporal patterns of logging in remotely sensed data.



Datum WGS84, decimal degrees.



deforestation_polygons.shp</b>


This shapefile contains the estimated perimeters of 47 new deforestation areas (since August 2004) that were observed during the field campaign. The ID column further classifies each polygon based on the interpretation of MODIS time

series imagery into the following classes:



legend for deforestation_polygons.shp




0 = desmatada antes do MOD13 033-2005, mas desde 273-2004


1 = desmatamento novinha (desde 033-2005)


2 = desmatada velha (folhas marrons)


3 = desmatada, queimada


4 = desmatada, area esta limpa (solo exposito, leiras ou pilias de material)






gps_points_march2005_final.shp</b>


Shapefile with the location of additional observations. Descriptions for each waypoint can be found in the companion table (gps_points_final.xls).





gps_points_final.xls</b>


Table with observation notes, date, time, location, and altitude of field observations. The field PTID corresponds with the same id number in the shapefile gps_points_march2005_final.shp



projection /datum: WGS84 lat/long

Data Application and Derivation:

Land cover polygons (crop type, pasture, deforestation, and logging) are designed for training and validation of deforestation detection and land cover classification algorithms. Wet-season deforestation observations are critical to evaluate the temporal dynamics of deforestation in this region.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Data have been checked for internal consistency, and observations at individual GPS point locations and polygons represent consensus from four observers. These data are designed for training or validation of land cover classification and deforestation detection algorithms.

Process Description:

Data Acquisition Materials and Methods:

Data were acquired through a field investigation of land cover/land use. Observations were recorded with hand-held GPS units (model Garmin 76s) by a team of four observers. Near-coincident MODIS and Landsat TM imagery were used to hand digitize boundaries for land cover polygons in ArcView shapefile format based on GPS points.

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