China-Brazil Earth Resources Satellite (CBERS) images present strategic importance for Brazil, providing support in several applications such as deforestation management and fire control, mainly in Amazon region. CBERS 2B carries three imagery sensors: High Resolution Camera (HRC), CCD Camera and Wide Field Imager (WFI), which provide images with GSD of 2.5 meters (m), 20 m and 260 m, respectiv...

O crescimento do número de lançamentos satélites artificiais para as mais diferentes funções tem motivado estudos relacionados a atividades controle, propagação e determinação da órbita atitude. Neste trabalho é feito um estudo Torque Pressão Radiação Solar (TPRS) Aerodinâmico (TA) satélite CBERS ( China-Brazil Earth Resources Satellite) quando são considerados os modelos utilizados na missão s...

Pre-launch absolute calibration coefficients for the CCD/CBERS-2B sensor have been calculated from radiometric measurements performed in a satellite integration and test hall in the Chinese Academy of Space Technology (CAST) headquarters, located in Beijing, China. An illuminated integrating sphere was positioned in the test hall facilities to allow the CCD/CBERS-2B imagery of the entire sphere...

Brazil and China have a long-term joint space based sensor program called China-Brazil Earth Resources Satellite (CBERS). The most recent satellite of this program (CBERS-4) was successfully launched on 7 December 2014. This work describes a complete procedure, along with the associated uncertainties, used to calculate the in-flight absolute calibration coefficients for the sensors Multispectra...

In this paper it's showed a comparative study between two techniques of satellite image classification. The studied techniques are the Maximum Likelihood statistical method and an Artificial Intelligence technique based in Neural Networks. The analyzed images were scanned by CBERS 1 satellite and supplied by Brazilian National Institute for Space Research (INPE). These images refer to Province ...

We investigated a method for noise removal on Landsat-8 OLI timeseries using CBERS-4 MUX data to improve crop classification. An algorithm was built to look to the nearest MUX image for each Landsat image, based on user defined time span. The algorithm checks for cloud contaminated pixels on the Landsat time series using Fmask and replaces them with CBERS-4 MUX to build the integrated time seri...

The first China-Brazil Earth Resources Satellite (CBERS) was launched in 1999 and recently was substituted by CBERS-2. CBERS1 and CBERS-2 have the same specifications and carry three sensors which combine features that are specially designed to cover the broad range of space and time scales involved in the monitoring and preservation of the ecosystem: Wide Field Imager (WFI), High Resolution CC...

The rigorous geometric model which depends on physical properties of the image acquisition is the basic model for object positioning of high resolution satellite imagery (HRSI). Using the linear and angular elements provided by ephemeris and attitude measuring system carried on the satellite, the object coordinates can be determined by the rigorous geometric model when the image coordinates are...

Since the first images of the sensors on board of CBERS-2 (China-Brazil Earth Resources Satellite) satellite were made available by the National Institute for Space Research (INPE), users have asked information about the conversion of image digital numbers to physical data (radiance or reflectance). This paper describes the main steps that were carried out to calculate the in-flight absolute ca...