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LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008

Documentation Revision Date: 2017-08-16

Data Set Version: 1

Summary

This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.

This data set contains 28 data files in LiDAR (*.laz) file format, 12 DTMs in GeoTIFF (*.tif) format, and one shapefile (*.shp) providing the LiDAR file footprints. 

Figure 1. Footprints for surveyed areas in Amazonas, Brazil are included in amazonas_lidar_footprints.shp. The K34 eddy flux tower (AmeriFlux BR-Ma2) is within the surveyed area at the Cuieiras Biological Reserve.

Citation

Lefsky, M.A., S.R. Saleska, and Y.E. Shimabukuro. 2017. LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1515

Table of Contents

  1. Data Set Overview
  2. Data Characteristics
  3. Application and Derivation
  4. Quality Assessment
  5. Data Acquisition, Materials, and Methods
  6. Data Access
  7. References

Data Set Overview

This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.

Related Data Sets:

Miller, J.B., L.V. Gatti, M.T.S. D'Amelio, A. Crotwell, E. Dlugokencky, P.S. Bakwin, P.E. Artaxo, and P. Tans. 2013. LBA-ECO TG-06 Vertical Profiles of Atmospheric Trace Gases over the Amazon Basin. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1175

dos-Santos, M.N., and M.M. Keller. 2016. CMS: LiDAR Data for Forested Areas in Paragominas, Para, Brazil, 2012-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1302

Martin, S.T., P.E. Artaxo, Q. Chen, A.B. Guenther, S.S. Gunthe, J.L. Jimenez, A. Manzi, K.L. Prenni, U. Poschl, J. Schneider, and E. Swietlicki. 2016. AMAZE-08 Aerosol Characterization and Meteorological Data, Central Amazon Basin: 2008. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1308

Lefsky, M.A., S.R. Saleska, and Y.E. Shimabukuro. 2017. LiDAR and DTM Data from Tapajos National Forest in Para, Brazil 2008. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1514

Acknowledgements:

The survey campaigns were funded through grants from NASA (#NNX09AI33G; M. Lefsky et al.) and the NSF (#0721140; S. Saleska, G.G. Parker, Y. Shimabukuro et al.). Additional funding was provided by the Smithsonian Tropical Research Institute for the surveys of Rio Preto da Eva.

Data Characteristics

Spatial Coverage: LiDAR surveys over forest reserves and municipalities north of Manaus in Amazonas, Brazil

Spatial Resolution: LiDAR: ~ 10 points per m2 ; DTMs: 1-m

Temporal Coverage: 20080607 - 20080624

Temporal Resolution: One-time flights

Study Area: (all latitude and longitudes given in decimal degrees)

Site Westernmost Longitude Easternmost Longitude Northernmost Latitude Southermost Latitude
Forest reserves and municipalities north of Manaus in Amazonas, Brazil -60.215 -59.764 -2.32 -2.98

Data File Information

There are 28 LiDAR point cloud (*.laz) files and 12 digital terrain models (DTM; *.tif) included in this data set. The survey footprints are provided as a shapefile (4 files in amazonas_lidar_footprints.zip) with the footprint of each LAZ file as a feature record identified by the "FILE" attribute. The spatial reference properties for the data files are listed below and additional metadata for each of the survey areas is provided in Table 1.

The shapefile is also provided as a companion file in KMZ (*.kmz) format for viewing in Google Earth. 

Data files are named according to the survey area.

Filename Survey Area
CUI_* Cuieiras Forest Reserve, Amazonas, Brazil
DUC_* Adolphos Ducke Forest Reserve, Amazonas, Brazil
PRE_* Rio Preto da Eva Municipality, Amazonas, Brazil

 

Spatial Reference Properties

WGS_1984_UTM_Zone_20S
WKID: 32720 Authority: EPSG

Projection: Transverse_Mercator
false_easting: 500000.0
false_northing: 10000000.0
central_meridian: -63.0
scale_factor: 0.9996
latitude_of_origin: 0.0
Linear Unit: Meter (1.0)

Geographic Coordinate System: GCS_WGS_1984
Angular Unit: Degree (0.0174532925199433)
Prime Meridian: Greenwich (0.0)
Datum: D_WGS_1984
  Spheroid: WGS_1984
    Semimajor Axis: 6378137.0
    Semiminor Axis: 6356752.314245179
    Inverse Flattening: 298.257223563
 

Table 1. Metadata for LiDAR survey areas

Survey Area Date(s) Number of tiles Total area (ha) Avg. point density (ppm2) Avg. first return density (ppm2) Avg. flight altitude (m)
CUI_A01 20080609, 20080622 4 545.77 12.21 9.51 833
DUC_A01 20080608, 20080609, 20080622, 20080624 14 1199.95 55.46 42.76 816
PRE_A01 20080622 2 409 12.09 9.3 723
PRE_A02 20080610 1 41.9 11.02 8.5 777
PRE_A04 20080607 2 242.32 13.10 10.21 880
PRE_A05 20080607 1 138.41 12.03 9.06 879
PRE_A06 20080610 1 124.02 12.99 10.08 812
PRE_A07 20080610 3 8.85 15.08 11.76 881

 

Application and Derivation

The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance and forest recovery over time (Stark et al., 2012).

Quality Assessment

Checks for horizontal and vertical accuracy, and other standard quality control measures were performed by dataset vendors. Refer to http://mapas.cnpm.embrapa.br/paisagenssustentaveis/ for vendor information. 

 

Data Acquisition, Materials, and Methods

Sites

The Cuieiras Biological Reserve and Adolpho Ducke Forest Reserve are located near Manaus in Amazonas, Brazil and are part of the Long Term Ecological Research Network. The survey areas within Adolpho Ducke Forest Reserve encompass long-term monitoring plots managed by the Brazilian PPBio Project (de Castilho et al., 2006) and sits at the intersection of two major drainage areas, the Amazon River and the Rio Negro. The survey areas within Cuieiras Biological Reserve encompass the K34 eddy flux tower and forest inventory plots managed through the LBA project (Araújo, 2002). The K34 tower is deployed in a medium elevation plateau with primary forest cover about 60 km north of Manaus. The K34 tower has been in continuous operation since 1999. Please visit the Ameriflux website for additional information and access to the eddy flux tower data (http://ameriflux.lbl.gov/).

Rio Preto da Eva is a municipality located east of Manaus in Amazonas, Brazil encompassing most of the study area for the Biological Dynamics of Forest Fragments project. The project was established in 1985 to monitor the dynamics of forested land in different states of fragmentation and recovery from logging (Bierregaard, et al., 1992).

The surveyed areas average 2145 mm of precipitation annually with temperatures ranging from 24 to 33 °C and averaging 27.4 °C. The Brazilian state of Amazonas is covered almost entirely by Amazon rainforest and is the most species-rich tract of tropical rainforest in the world. 

Data Acquisition

LiDAR surveys were flown over the survey sites in June 2008 with a Leica ALS-50 instrument LiDAR (Heerbrugg, Switzerland), funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.) and NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.). The data were collected and processed to point cloud and DTM files by commercial vendors under these grants, and incorporated into the broader integrated effort of the Sustainable Landscapes project. Sustainable Landscapes is supported by the United States Agency for International Development (USAID) and US Department of State. LiDAR surveys performed through the Sustainable Landscapes project were commissioned by the United States Forest Service in collaboration with the Brazilian Enterprise for Agricultural Research (EMBRAPA).

Data Access

These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008

Contact for Data Center Access Information:

References

Araújo, A.C., 2002. Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: The Manaus LBA site. J. Geophys. Res. 107. https://doi.org/10.1029/2001JD000676

Bierregaard, R.O., T.E. Lovejoy, V. Kapos, and R.W. Hutchings. 1992. The Biological Dynamics of Tropical Rainforest Fragments. BioScience 42, 859–866. https://doi.org/10.2307/1312085

de Castilho, C.V., W.E. Magnusson, R.N.O. de Araújo, R.C.C. Luizão, F.J. Luizão, A.P. Lima, and N. Higuchi. 2006. Variation in aboveground tree live biomass in a central Amazonian Forest: Effects of soil and topography. For. Ecol. Manag. 234, 85–96. https://doi.org/10.1016/j.foreco.2006.06.024

Hunter, M.O., M. Keller, D. Morton, B. Cook, M. Lefsky, and M. Ducey et al. (2015) Structural Dynamics of Tropical Moist Forest Gaps. PLoS ONE 10(7): e0132144. https://doi.org/10.1371/journal.pone.0132144

Stark, S.C., V. Leitold, J. L. Wu, M.O. Hunter, C.V. de Castilho, F.R.C. Costa, S.M. McMahon, G.G. Parker, M.T. Shimabukuro, M.A. Lefsky, M. Keller, L.F. Alves, J. Schietti, Y.E. Shimabukuro, D.O. Brandão, T.K. Woodcock, N. Higuchi, P.B. de Camargo, R.C. de Oliveira, and S.R. Saleska. 2012. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters 15: 1406-1414. https://doi.org/10.1111/j.1461-0248.2012.01864.x

Stark, S.C., B.J. Enquist, S.R. Saleska, V. Leitold, J. Schlietti, M. Longo, L.F. Alves, P.B. Camargo, and R.C. Oliveira. 2015. Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography. Ecology Letters. https://doi.org/10.1111/ele.12440