title: Evaluation of the altimetry from SRTM-3 and planimetry from high-resolution PALSAR FBD data for semi-detailed topographic mapping in the Amazon Region.
abstract: The Brazilian Amazon has a deficit of 35% of coverage regarding topographic mapping at semi-detailed (1:100,000) scale. This paper presents an alternative to overcome this scenario using a combination of planialtimetric information from two orbital SAR (Synthetic Aperture Radar) missions. The altimetry was acquired from Shuttle Radar Topography Mission (SRTM), while the planimetry was provided from Fine Beam Dual (FBD) images of the Phased Array L-band Synthetic Aperture Radar (PALSAR) sensor. The research was carried out in the mountainous area of the Serra dos Carajás (Pará State), located on the Amazon region. The quality of the orbital topographic information was evaluated regarding precise planialtimetric measurements acquired from Global Positioning System (GPS) field campaigns. The evaluations were performed following two approaches: (1) the use of Root Mean Square Error (RMSE) and (2) tendency and precision hypothesis tests. The investigation has shown that the planialtimetric quality of the orbital products fulfilled the Brazilian Map Accuracy Standards requirements for 1:100,000 A Class map. Thus, the use of combination of information provided by PALSAR and SRTM-3 data can be considered a promising alternative for production and update of semi-detailed topographic mapping in similar environments of the Amazon region, where topographic information is lacking or presents low quality.
authors.affiliation: Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto, São José dos Campos, SP, Brasil. tgrcart@gmail.com
authors.forename: Thiago G
authors.initials: TG
authors.lastname: Rodrigues
authors.forename: Waldir R
authors.initials: WR
authors.lastname: Paradella
authors.forename: Cleber G
authors.initials: CG
authors.lastname: Oliveira
mesh_terms: D001938:Brazil; D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods; D040362:Geographic Information Systems / Q000295:instrumentation*; D005843:Geography / Q000295:instrumentation* / Q000379:methods; D011825:Radar; D058998:Remote Sensing Technology / Q000379:methods*