ISLSCP: International Satellite Land-Surface Climatology Project1,2

Rasool, S. I.; Bolle, H. J.

doi:10.1175/1520-0477-65.2.143

Cited by 21 publications

(6 citation statements)

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“…ET can be ad equately determined at leaf and plant levels: however, it is one of the least understood aspects of the hydrologic cycle at larger scales. This is, in part, due to the difficulty in assessing ET on a regional scale (Rasool and Bolle 1984).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Regional Surface Resistance to Evapotranspiration from NDVI and Thermal-IR AVHRR Data

Nemani¹,

Running²

1989

J. Appl. Meteor.

487

226

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Infrared surface temperatures from satellite sensors have been used to infer evaporation and soil moisture distribution over large areas. However, surface energy partitioning to latent versus sensible heat changes with surface vegetation cover and water availability. We tested a hypothesis that the relationship between surface temperature and canopy density is sensitive to seasonal changes in canopy resistance of conifer forests. Surface temperature (T,) and canopy density were computed for a 20 x 25 km forested region in Montana, from the NOAA/AVHRR for 8 days during the summer of 1985. A forest ecosystem model, FOREST-BGC, simulated canopy resistance (Rf) for the same period. For all eight days, surface temperatures had high association with canopy density, measured as Normalized Difference Vegetation Index (NDVI) (R^ = 0.73-0.91), implying that latent heat exchange is the major cause of spatial variations in surface radiant temperatures. The slope of T, and NDVI, j, was sensitive to changes in canopy resistance on two contrasting days of canopy activity. The trajectory of a followed seasonal changes in canopy resistance simulated by the model. The relationship found between < r and Rc{R^-0.92), was nonlinear, expected because R^ values beyond 20 s cm~' do not influence energy partitioning significantly. The slope of Ts and NDVI, <7, could provide a useful parameterization of surface resistance in regional evapotranspiration research.

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Section: Introductionmentioning

confidence: 99%

Estimation of Regional Surface Resistance to Evapotranspiration from NDVI and Thermal-IR AVHRR Data

Nemani¹,

Running²

1989

J. Appl. Meteor.

487

226

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“…51 This is, in part, due to the difficulty associated with assessing ET at a regional scale. 52 For a given spatial-temporal condition, there is a close relationship between vegetation index and ET. However, a vegetation index is a reflection of vegetation form, structure, soil regime, and other relevant essential factors, and specific site conditions should be taken into consideration when vegetation indices are used for assessing changes in ET.…”

Section: Discussionmentioning

confidence: 99%

Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model

Ning

Gao

2017

J. Appl. Remote Sens

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"Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model," J. Appl. Remote Sens. 11(1), 016009 (2017), doi: 10.1117/1.JRS.11.016009. Abstract. This study investigated the associations between land cover changes and evapotranspiration (ET) in the Yellow River Delta during the last 30 years using Landsat imagery. The result showed that the Delta region experienced a distinct increase in area due to sea-land interaction and sediment deposition, accompanied by substantial change in land cover fractions. From 1986 to 2015, 35.48% of land cover changed, mainly due to a transformation into salterns and culture ponds from other land cover types. In general, land cover was converted from less developed into highly developed types. The monowindow algorithm for retrieval of land surface temperature (LST) and the SEBAL model were used to explore the effects of land cover changes on regional ET. The results indicated that the average relative error of daily ET was 9.46%, and there was a significant linear correlation (R 2 ≥ 0.959, p < 0.001) between ET and LST. Relationships existed between LST, ET, fractional vegetation cover, and other relevant vegetation indices, and there were positive and negative correlations between different threshold ranges. During the study period, the transformation of large areas of different land cover types into salterns and culture ponds led to an average increase of 1.43 mm in daily ET.

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“…The complexities of relating point ground observations to the area-averaged remotely sensed measurements are also still not resolved (Rosswall et al 1988). Significant progress in developing this understanding is being achieved in projects, such as the International Satellite Land Surface Climatology Project (Rasool and Bolle 1984;Sellers et al 1988). Practical applications of biophysical remote sensing are also being pursued by national and international agencies concerned with global food production, famine prevention and related environmental phenomena (Johnson et al 1987;Philipson and Teng 1988;Walsh 1988).…”

Section: Current Status Of Land Remote Sensingmentioning

confidence: 99%

Experiences and perspective in compiling long-term remote sensing data sets on landscapes and biospheric processes

Goward

1990

GeoJournal

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Remote sensing has been employed to study the Earth's landscapes for more than a century. Over the last thirty years major changes in all aspects of the technology, as well as scientific understanding of the measurements, have revolutionized use of these data for terrestrial research. The emergence of biophysical interpretations of land remotely sensed data has created great interest in the potential of these data to study the dynamics of landscapes and biospheric processes as contributors to global change. However, the evolutionary history of land remote sensing, particularly in the Landsat era, has in many ways worked against this use of the data. Until recently, there was little appreciation of the need to compile long-term historical records of these observations. There are currently no formal scientific institutional systems dedicated to preserving and distributing the long-term record of Earth observations acquired by Landsat, AVHRR or other land observing systems. As the International Geosphere-Biosphere Program begins, this issue should be one of the first priorities of the participants.

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ISLSCP: International Satellite Land-Surface Climatology Project1,2

Cited by 21 publications

References 0 publications

Estimation of Regional Surface Resistance to Evapotranspiration from NDVI and Thermal-IR AVHRR Data

Estimation of Regional Surface Resistance to Evapotranspiration from NDVI and Thermal-IR AVHRR Data

Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model

Experiences and perspective in compiling long-term remote sensing data sets on landscapes and biospheric processes

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