Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.

With the amount of multitemporal and multiresolution images growing exponentially, the number of image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence, there is a need to explore new segmentation concepts and techniques that make use of the temporal dimension. This paper describes a spatio-temporal segmentation that adapts the traditional region growing technique to detect homogeneous regions in space and time in optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping measure as the homogeneity criterion. Study cases on high temporal resolution for sequences of MODIS and Landsat-8 OLI vegetation indices products provided satisfactory outputs and demonstrated the potential of the spatio-temporal segmentation method.Também publicado na Revista Brasileira de Cartografia, v. 70, n. 5, p. 1779-1801, 2018. Special Issue XIX Brazilian Syposium on GeoInformatics, 2018. DOI: 10.14393/rbcv70n5-45227

Semantic segmentation of Brazilian Savanna vegetation using high spatial resolution satellite data and U-net

Large-scale mapping of the Brazilian Savanna (Cerrado) vegetation using remote sensing images is still a challenge due to the high spatial variability and spectral similarity of the different characteristic vegetation types (physiognomies). In this paper, we report on semantic segmentation of the three major groups of physiognomies in the Cerrado biome (Grasslands, Savannas and Forests) using a fully convolutional neural network approach. The study area, which covers a Brazilian conservation unit, was divided into three regions to enable testing the approach in regions that were not used in the training phase. A WorldView-2 image was used in cross validation experiments, in which the average overall accuracy achieved with the pixel-wise classifications was 87.0%. The F-1 score values obtained with the approach for the classes Grassland, Savanna and Forest were of 0.81, 0.90 and 0.88, respectively. Visual assessment of the semantic segmentation outcomes was also performed and confirmed the quality of the results. It was observed that the confusion among classes occurs mainly in transition areas, where there are adjacent physiognomies if a scale of increasing density is considered, which agrees with previous studies on natural vegetation mapping for the Cerrado biome. © Authors 2020. All rights reserved

Identification of gaps in sugarcane plantations using UAV images.

The objective of this study is to present a methodology for the detection and quantification of gaps formed during planting or growing of sugarcane crops. The use of UAV images for precision agriculture is relevant because it brings new possibilities for improving crop's productivity by feeding the producer with highly accurate data about the crop status

Cloning of the DMRT1 transcription factor gene of Xiphophorus maculatus: DMY/DMRT1Y is not the master sex-determining gene in the platyfish

In contrast to the situation observed in mammals and birds, a switching between different sex determination systems frequently occurred during the evolution of the teleost fish lineage. This might be due to a frequent turnover of sex-determining signals at the top of the sex determination cascade (master sex-determining genes in the case of genetic sex determination). Alternatively, different variations of a same master gene might decide the sex of individuals in different sex determination systems. In the medaka Oryzias latipes, a Y-specific copy of the putative transcription factor gene dmrt1 very likely corresponds to the master sex-determining gene inducing male formation [Nature 417 (2002) 559; Proc. Natl. Acad. Sci. U. S. A. 99 (2002) 11778]. This gene, alternately called dmY and dmrt1Y, has been formed by duplication of the autosomal dmrt1. In order to determine if an orthologue of dmrt1Y was also located in the sex determination region of the related platyfish Xiphophorus maculatus, Southern blot analysis was performed on genomic DNA from XY and YY males and WY and XX females using both medaka and human dmrt1 cDNA as probes. Using different restriction enzymes, no evidence for sex-specific dmrt-containing genomic fragments could be found in the platyfish. No dmrt gene could be detected by low-stringency Southern blot analysis of genomic inserts from 60 bacterial artificial chromosome (BAC) clones linked to the sex-determining locus on the X and Y chromosomes. Six different groups of BAC clones containing dmrt genes were isolated from a platyfish genomic library. X. maculatus dmrt1 gene and cDNA were characterised. In adult, expression of dmrt1 was detected only in testis. Phylogenetic analysis indicated that the duplication of dmrt1 that led to the formation of dmY/dmrt1Y within the medaka lineage clearly occurred after its divergence from the platyfish lineage. Hence, a dmY/dmrt1Y orthologue generated by this particular event of duplication does not correspond to the master sex-determining gene in the platyfish

Pattern recognition and remote sensing techniques applied to land use and land cover mapping in the Brazilian Savannah

The Brazilian Savannah, or Cerrado, has gained vital importance in the discussions about sustainable land development after the conversion of half of its natural vegetation. For the last two decades, most of the agricultural expansion in Brazil has occurred in this biome. This is related to technological improvements in agriculture as well as to environmental compliance policies that have effectively reduced soybean expansion in the Brazilian Amazon biome. Therefore, remotely sensed imagery, pattern recognition and image processing techniques have been employed to analyze and monitor the land dynamics over Cerrado. In this work, we present a brief review on Land Use and Land Cover mapping (LULC) in the Cerrado biome from an application perspective: natural vegetation, pastureland, agriculture, and deforestation. In this review we selected some studies whose results could contribute to the development of more detailed and accurate LULC maps for the Cerrado biome