Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements

Goward, Samuel N.; Xue, Yongkang; Czajkowski, Kevin

doi:10.1016/s0034-4257(01)00275-9

Cited by 280 publications

(154 citation statements)

References 53 publications

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“…This is determined by the quantity of vegetation, thus NDVI could be used as an indicator of LST variability (Goetz et al, 2000). In areas with vegetation cover, the radiative temperature registered by the satellite sensor has been found to better approximate the in situ temperature (Goward et al, 2002). Vegetation cover also shows high-temperature variations since thermal responses depend on the biophysical characteristics of the different species (Quattrochi and Ridd, 1998).…”

Section: Discussionmentioning

confidence: 99%

“…Tourism activities in coastal cities need to constantly change their internal structure because they must promote and ensure tourism (Calvento and Colombo, 2009). In 2012, Argentina was the main tourist destination in South America and saw a 362 % increase in domestic tourism from 2002to 2012(Vera, 2013. This increase in tourists required more urban space, thus local government and private business modified and orientate the urban growth (Vera, 2013).…”

Section: Discussionmentioning

confidence: 99%

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Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Ferrelli

Cisneros

Delgado

2018

dag

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Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina AbstractThe aim of this work was to study the spatial distribution of Land Surface Temperature (LST) and its relationship with diverse urban land covers and the Normalized Difference Vegetation Index (NDVI). The study area was Monte Hermoso city, which is located in the southwest of Buenos Aires province, Argentina. To obtain the LST and NDVI parameters, satellite images from LANDSAT 5 TM and LANDSAT 7 ETM+ sensors were seasonally processed for the period 2008-2012. Visual interpretation techniques and empirical intervention were applied to design an urban land cover map on which LST and NDVI were analyzed by tracing four transects oriented in latitudinal and longitudinal directions. Each urban cover presented a particular behavior of these parameters. Furthermore, significant results for the relationship between LST and NDVI were observed (with α 0.1 and 0.05) with R 2 , Pearson, and Spearman indices values higher than 0.7. Finally, LST variation in diverse land covers was observed as a consequence of urban growth and the alteration of the vegetation coverage. Therefore, it was concluded that the spatial and temporal variation of LST values may indicate modifications in urban land covers. The information obtained in this study would be a useful tool to guide future urban management studies and policies. Keywords: Land Surface Temperature (LST); Normalized Difference Vegetation Index (NDVI); seasonal distribution; satellite imagery processing; Monte Hermoso Resum. Anàlisi espacial i temporal de la relació TST-NDVI per a l'estudi dels canvis de cobertura del sòl i la seva contribució per a la planificació urbana (Monte Hermoso, Argentina)L'objectiu d'aquesta investigació va ser estudiar la distribució espacial de la temperatura de superfície terrestre (TST), la seva relació amb diferents cobertures del sòl urbà i l'índex de vegetació de diferència (NDVI). L'àrea d'estudi seleccionada va ser la ciutat costanera de Monte Hermoso, localitzada al sud-oest de la província de Buenos Aires (Argentina). Per fer-ho, es van processar imatges satel·litàries LANDSAT 5 TM i 7 ETM + per al període 2008-2012 de manera estacional. Amb aquestes imatges es va calcular la TST i l'NDVI. Posteriorment, es van aplicar tècniques d'interpretació visual i es van fer sortides al camp per dissenyar un mapa de cobertures del sòl urbà. Sobre aquestes, es va analitzar la variació de la TST i l'NDVI mitjançant el traçat de quatre transsectes orientats en sentit latitudinal i longitudinal. Cadascuna d'aquestes cobertures va presentar un comportament particular dels paràmetres calculats. D'altra banda, es van observar resultats significatius de la relació TST-NDVI (amb α de 0,1 i 0,05), amb valors de R 2 , índexs de Pearson i Spearman més grans de 0,7. Finalment, es va evidenciar que el canvi en les cobertures del sòl, producte del creixement urbà, va modificar els valors estacional...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Ferrelli

Cisneros

Delgado

2018

dag

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“…Figures 3A and 3B show the triangles of the two scenes chosen to exemplify different water conditions. On 02 Feb 2005, the wet edge pixels had lower, close to 295 K, for higher rainfall (21 mm) compared to lower rainfall ) and maximum temperatures were even higher, characterizing major contrast between pixels with lower and higher water availability in the region (Goward et al, 2002). The analysis of TVDI spatial distribution showed that regions with high and low index values occur in all images of both [2004][2005] (Figure 4) and [2009][2010] (Figure 5) crop-seasons.…”

Section: Tvdi -Scene Parameterizationmentioning

confidence: 97%

“…At the end of the crop cycle (Mar and Apr), low TVDI values were observed for both crop-seasons, as a consequence of the decreasing T S and lower NDVI associated with senescent vegetation at the harvest end (Goward et al, 2002).…”

Section: Tvdi -Crop Parameterizationmentioning

confidence: 97%

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Two approaches to calculate TVDI in humid subtropical climate of southern Brazil

Schirmbeck

Fontana

Schirmbeck

2018

Sci. agric. (Piracicaba, Braz.)

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Estimation of Soil Properties Using HyperspectralVIS/IRSensors

Huete

2005

Encyclopedia of Hydrological Sciences

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Knowledge of soil properties and processes are crucial to the understanding of the terrestrial hydrologic cycle and the functioning of terrestrial ecosystems. In this paper, we present the current state and potential of hyperspectral remote sensing techniques for quantitative retrieval of soil properties. Remote sensing is used to detect chemical and physical soil properties either (i) directly from the bare soil pixels, (ii) through advanced spectroscopy methods in mixed “soil‐vegetation‐litter” pixels, and (iii) by measurements of the overlying vegetated canopy to infer soil properties and moisture status. Optical‐geometric properties of soil surfaces reveal information on soil physical features, such as soil structure, crusting, and erosion. We also investigate the use of vegetation water indices to infer soil drying and wetting in the soil root zone. We conclude with a discussion on future needs and directions for remote sensing of soil properties.

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Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements

Cited by 280 publications

References 53 publications

Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina

Two approaches to calculate TVDI in humid subtropical climate of southern Brazil

Estimation of Soil Properties Using HyperspectralVIS/IRSensors

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