Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Conrad D. Heatwole"'
Autor:
Conrad D. Heatwole, Lonesome Malambo
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 160:107-123
Monitoring of environmental change can benefit from the increasing availability of multitemporal satellite imagery, and efficient and effective analysis tools are needed to generate relevant spatio-temporal land cover datasets. We present a data driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac82f1e711abe425b81f144c81577f37
https://doi.org/10.1016/j.isprsjprs.2019.11.026
https://doi.org/10.1016/j.isprsjprs.2019.11.026
Autor:
Conrad D. Heatwole, Younggu Her
Publikováno v:
Transactions of the ASABE. 61:1891-1906
Hydrologically sensitive areas (HSAs) largely control watershed response to rainfall, along with water and pollutant transport processes. Thus, their identification is critical in watershed management planning. Although watershed processes have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a8e484dc3eab30465f97706bc94fcc
https://doi.org/10.13031/trans.12792
https://doi.org/10.13031/trans.12792
Autor:
Conrad D. Heatwole, Younggu Her
Publikováno v:
Journal of Hydroinformatics. 18:961-974
Parameter uncertainty in hydrologic modeling is commonly evaluated, but assessing the impact of spatial input data uncertainty in spatially descriptive ‘distributed’ models is not common. This study compares the significance of uncertainty in spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbbc221038d0cba412c3fa7135f250c2
https://doi.org/10.2166/hydro.2016.003
https://doi.org/10.2166/hydro.2016.003
Autor:
Conrad D. Heatwole, Younggu Her
Publikováno v:
JAWRA Journal of the American Water Resources Association. 52:376-396
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d75fa1620f566355338848532727a4
https://doi.org/10.1111/1752-1688.12396
https://doi.org/10.1111/1752-1688.12396
Autor:
Conrad D. Heatwole, Lonesome Malambo
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:252-261
Missing data in Landsat imagery caused by cloud cover and the scan line corrector error confound analysis, and effective methods for gap filling would greatly improve the usability of these data. Several methods for gap filling Landsat data have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6187e5f3cb77f5df66a12816873f1172
https://doi.org/10.1109/tgrs.2015.2453955
https://doi.org/10.1109/tgrs.2015.2453955
Autor:
Younggu Her, Conrad D. Heatwole
Publikováno v:
Hydrological Processes. 30:751-770
Distributed, continuous hydrologic models promote better understanding of hydrology and enable integrated hydrologic analyses by providing a more detailed picture of water transport processes across the varying landscape. However, such models are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9067066198c17e34affb29f02e826493
https://doi.org/10.1002/hyp.10644
https://doi.org/10.1002/hyp.10644
Publikováno v:
JAWRA Journal of the American Water Resources Association. 51:1072-1087
The Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) has been a valuable resource for hydrological analysis, providing elevation data at a consistent resolution on a near-global scale. However, its resolution (three arc-second or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cc084da7e8d3126d08a13e024a3541e
https://doi.org/10.1111/jawr.12287
https://doi.org/10.1111/jawr.12287
Autor:
Rodrigo Cauduro Dias de Paiva, Eloiza Maria Cauduro Dias de Paiva, João Batista Dias de Paiva, Fábio Alex Beling, Conrad D. Heatwole
Publikováno v:
Transactions of the ASABE. :1371-1375
The Ibicui River basin in Rio Grande do Sul, Brazil, has recurring problems of water deficits, commonly attributed to the indiscriminate use of water to irrigate rice. The objective of this study was a statistical analysis of water flow data in the I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4813c9438c18755957c4ef337cff86
https://doi.org/10.13031/trans.56.9953
https://doi.org/10.13031/trans.56.9953
Publikováno v:
Transactions of the ASAE. 47:1585-1594
Cost-effectiveness of nonpoint-source pollution reduction programs in an agricultural watershed depends on the selection and placement of control measures within the watershed. Locations for best management practices (BMPs) are commonly identified th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d947f71380a924cc1f1e3ed52dddc16
https://doi.org/10.13031/2013.17636
https://doi.org/10.13031/2013.17636
Publikováno v:
Journal of the American Water Resources Association. 39:1331-1343
A combinatorial optimization procedure for best management practice (BMP) placement at the watershed level facilitates selection of cost effective BMP scenarios to control non point source (NFS) pollution. A genetic algorithm (GA) was selected from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5cacae301291d63652e05827a527332
https://doi.org/10.1111/j.1752-1688.2003.tb04421.x
https://doi.org/10.1111/j.1752-1688.2003.tb04421.x