scholarly journals Spatial distribution of biophysical parameters in the Ipanema River Basin using remote sensing techniques

2018 ◽  
Vol 7 (6) ◽  
pp. 324
Author(s):  
Jhon Lennon Bezerra da Silva ◽  
Diego Cézar Dos Santos Araújo ◽  
Daniella Pereira Dos Santos ◽  
Alan Cézar Bezerra ◽  
Geber Barbosa De Albuquerque Moura ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
River Basin ◽  
Biophysical Parameters ◽  
Remote Sensing Techniques

scholarly journals Image Spectrometry and Copernicus data for Heritage Mapping in the Jarama Valley, Spain

2019 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
Juan Gregorio Rejas Ayuga ◽  
Francisco Javier González Matesanz ◽  
Pilar Sánchez-Ortiz
Keyword(s):  
Remote Sensing ◽  
Spanish Civil War ◽  
Spectral Characteristics ◽  
Biophysical Parameters ◽  
Military Installations ◽  
Thermal Anomalies ◽  
Digital Heritage ◽  
First Results ◽  
Remote Sensing Techniques ◽  
Spectral Ranges

<p><strong>Abstract.</strong> For millions of years, the Jarama Valley, located in the middle of Spain, has fluctuated physically and geomorphological, supposing over the centuries a crucial settlement for wildlife and different human cultures as an efficient route through South Europa. Currently, this scenario, which consist of a vast and intricate network of military installations due to the Battle of Jarama in the Spanish Civil War, mixed with incredible paleontological sites, Celtiberian cities and roman, are part of a great-protected natural and cultural classified as the Southeast Regional Park close to Madrid City.</p><p>The aim of this work is developing a geospatial methodology for the digital heritage mapping in the Jarama Valley using geomatics’ technologies in situ, drones' data, image spectrometry and the Copernicus European program, both their active and passive sensors. Data from Sentinel 1, Sentinel 2 and airborne sensors have analysed according to remote sensing techniques to recognize the potential remains and to reconstruct the heritage landscapes of three test areas in the Jarama Valley. We have investigated the spectral characteristics of main biophysical parameters in the pattern recognition of man-made materials in several remote sensing scenes of the Jarama Valley. Spectral ranges from drones' data are used to validate data cubes from multisperspectral sensor ATM. Sentinel 1 polarimetric products and thermal anomalies have calculated in order to contrast evidences of buried remains and confirm land change detection over the last decades. First results and their consequences on the digital heritage mapping of the Jarama Valley are discussed, representing a first point of protection and an advance of a full cultural and natural heritage research project in this region.</p>

scholarly journals Estimation of soil heat flux in a neotropical Wetland region using remote sensing techniques

2014 ◽  
Vol 29 (4) ◽  
pp. 469-482 ◽  
Author(s):  
Victor Hugo de Morais Danelichen ◽  
Marcelo Sacardi Biudes ◽  
Maísa Caldas Souza ◽  
Nadja Gomes Machado ◽  
Bernardo Barbosa da Silva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Heat Flux ◽  
Vegetation Index ◽  
Correlation Coefficients ◽  
Remote Sensing Data ◽  
Soil Heat Flux ◽  
Biophysical Parameters ◽  
Area Index ◽  
Satellite Sensors ◽  
Remote Sensing Techniques

The direct estimation of the soil heat flux (G) by remote sensing data is not possible. For this, several models have been proposed empirically from the relation of G measures and biophysical parameters of various types of coverage or not vegetated in different places on earth. Thus, the objective of this study was to evaluate the relation between G/Rn ratio and biophysical variables obtained by satellite sensors and evaluate the parameterization of different models to estimate G spatially in three sites with different soil cover types. The net radiation (Rn) and G were measured directly in two pastures at Miranda Farm and Experimental Farm and and Monodominant Forest of Cambará. Rn, G, and G/Rn ratio and MODIS products, such as albedo (α), surface temperature (LST), vegetation index (NDVI) and leaf area index (LAI) varied seasonally at all sites and inter-sites. The sites were different from each other by presenting different relation between measures of Rn, G and G/Rn ratio and biophysical parameters. Among the original models, the model proposed by Bastiaanssen (1995) showed the best performance with r = 0.76, d = 0.95, MAE = 5.70 W m-2 and RMSE = 33.68 W m-2. As the reparameterized models, correlation coefficients had no significant change, but the coefficient Willmott (d) increased and the MAE and RMSE had a small decrease.

scholarly journals Uso de SIGS para geração de mapas com a localização média da goiaba (Psidium guajava) na margem noroeste do município de São Francisco, bacia hidrográfica do rio São Francisco, MG

ForScience ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. e00846
Author(s):  
Pedro Luiz Teixeira Camargo ◽  
Paulo Pereira Martins Júnior ◽  
Marcílio Baltazar Teixeira ◽  
Fernando Antônio Madeira ◽  
Raphaella karla Portes Beserra ◽  
...  
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Psidium Guajava ◽  
Minas Gerais ◽  
Sao Francisco River ◽  
Population Average ◽  
São Francisco River ◽  
Remote Sensing Techniques ◽  
Aid Decision ◽  
Support Methods

A gestão dos recursos naturais embasada no modelo do desenvolvimento sustentável é, sem dúvida, um dos maiores desafios de gestão ambiental. Para isso, técnicas de sensoriamento remoto têm sido cada vez mais usadas objetivando um melhor e maior auxílio à decisão. Na margem Noroeste (B) do município de São Francisco, Norte de Minas Gerais, localizado na bacia alto-média do rio São Francisco e onde o Cerrado natural sofreu intensa degradação no intervalo de 41 anos (1975-2016), realizou-se o presente estudo, objetivando, por meio da metodologia de sobreposição de imagens cartográficas, utilizando-se a ferramenta IDW do software Arcgis 10.2 gerar um mapa capaz de apresentar a média populacional da Goiaba (Psidium guajava) por ponto de coleta. Pode-se concluir, após a exitosa experiência metodológica aqui presente, que os seus exemplares arbóreos se localizam prioritariamente no extremo Sul da margem B, sendo interessante pensar como esta espécie, mesmo oriunda do Cerrado não se adaptou tão bem na área estudada. Uma hipótese para explicar isso se dá pelo fato de a semente da goiaba sofrer quebra de dormência, em geral, quando se tem flutuações abruptas de temperatura, algo não observado no local, com exceção das margens do rio São Francisco, exatamente o local onde se observa a presença dessa frutífera em maior quantidade. Recomendam-se mais estudos na região para verificação se a hipótese apresentada é de fato correta. Palavras-chave: Bacia do Rio São Francisco. Sensoriamento remoto. Métodos e técnicas de auxílio à decisão.   Use of sigs for generation of maps with the goiaba (Psidium guajava) middle location in the northwest margin of the São Francisco Municipal, São Francisco water, MG Abstract Managing natural resources responsibly is undoubtedly one of the biggest environmental management challenges. Thus, remote sensing techniques have been increasingly used to better and better aid decision making. In the Northwest (B) portion of the municipality of São Francisco, North of Minas Gerais, located in the upper-middle São Francisco River basin and where the natural Cerrado suffered intense degradation in the 41year interval (1975-2016), we conducted the present study, aiming, through the methodology of overlapping cartographic images, using the IDW tool of Arcgis 10.2 software to generate a map capable of presenting the population average of Goiaba (Psidium guajava) by collection point. We can conclude, after the successful methodological experience present here, that its tree specimens are located primarily in the extreme south of margin B, it is interesting to think how this species, even coming from the Cerrado, did not adapt so well in the studied area. A good hypothesis to explain this is due to the fact that the guava seed suffers from dormancy, in general, when there are abrupt fluctuations in temperature, something not observed in the place, except for the banks of the São Francisco River, exactly the place where observes the presence of this fruit in greater quantity. Further studies in the region are recommended to verify whether the hypothesis presented is indeed correct. Keywords: São Francisco river basin. Remote sensing. Decision support methods and Ttechniques.

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