Each pass of the satellite provides a swath of
new data. These are downloaded and then processed: each swath pixel is compared
with the location of over 2500 gauging sites and retained as an observation in case it is closer than
0.1 decimal degrees. There are two types of sites: calibration (C) or dry
site and
measurement (M) or wet site.
The ratio of the dry (C) and the wet (M) site is sensitive to surface water
change. The unfiltered ratio is the ratio of C and M for each
observation. Because of spatial variability, averaging is needed to get a stable
signal: this is done by averaging the C and M values over 4 days and then
taking the ratio. The signal should be sensitive to surface water change,
but not to the geometry of the swaths.
A preliminary method to detect potential floods uses the statistics (average
and standard deviation) of the signal per site; only after one year of data has
been gathered this method will be somewhat reliable. The flood level is
set to major flood (3) for the ~95 percentile (2 stdev), to flood
(2) for the ~85 percentile (1.5 stdev) and to normal (1) below that. Low flow is
currently not considered.
Publications:
- De Groeve, T., Z. Kugler, G. R. Brakenridge, 2007. Near Real Time Flood
Alerting for the Global Distaser Alert and Coordination System. Proceedings of
the 4th International ISCRAM Conference (B. Van de Walle, P.
Burghardt and C. Nieuwenhuis, eds.) Delft, the Netherlands, May 2007, in
press
- Brakenridge, G. R., Nghiem, S.V., Anderson, E., Mic, R. (2007) Orbital
microwave measurement of river discharge and ice status, Water Resources
Research, in press
| Candidate flood sites (updated: 3/11/2010 6:52:14 PM) |
|---|
Angola | Cuando(287), Cuito(1241), Cunene(1244 ), Zambezi(1277 , 1282) |  |
|---|
Argentina | Dulce(1171), Gualeguay(812, 815, 813), Parana(819 , 818, 826, 827, 831, 830 ), Parana Delta(1192 ), Pilcomayo(1166), Tueco(1167) |  |
|---|
Australia | Barwon(2384), Blyth(2337), Brown(2517 ), Brunette Lake(2353 ), Bulloo(2379 ), Cooper(114  ), Culgoa(2521               ), Daly(2325 ), Dawson(2516), Diamantina(2368 , 2367 ), East Alligator(2336), Georgina(111  ), Gwydir(2383), Lachlan(2390), Mann(2339), Mary(2329), Murrumbidgee(2388), Nebine Creek(2520  ), Newcastle(2347), Norman(26  ), Paroo(2381    ), Warrego(2382 ) |  |
|---|
Bolivia | Blanco(1151), Chimore(2626 ), Guapore(2655, 2654, 2653, 2656 ), Ichoa(1160), Lake Poopo Inlet(1161), Mamore(2597, 2600, 1154 ) |  |
|---|
Brazil | Araguaia(1141), Parana(1177), Purus(1100) |  |
|---|
Canada | N Saskatchewan(900) |  |
|---|
China | Caoe(2102), Ergun(1873), Puyang(2101), Weihe(2139) |  |
|---|
Ecuador | Daule(1136), Zapotal(1135) |  |
|---|
Ethiopia | Fafen(1537), Omu(1515), Shabelle(1534 , 1536     ), Webe Gestro(1526    ) |  |
|---|
Indonesia | Musi(2252 ), Ogan(2251) |  |
|---|
Iran | Bampur Delta(2002 ) |  |
|---|
Kazakhstan | Ishim(1661) |  |
|---|
Kenya | Lagh Bogal(1548  ) |  |
|---|
Madagascar | Bemarivo(1574), Mahavavy(1579 ), Tsiribihina(1582) |  |
|---|
Malawi | Bua(1290 ) |  |
|---|
Mexico | Lago de Santiaguillo(953 ), Sabinas Reservoir(1054) |  |
|---|
Morocco | Oued Sebou(1355       ), Sebou(1356      ) |  |
|---|
Mozambique | Incomati(1258), Maputo(1259), Pungue(1268 , 267       ), Zambezi(261) |  |
|---|
Myanmar | Mu(38) |  |
|---|
Namibia | Zambezi(281 , 71) |  |
|---|
Peru | Piura(1138  ), Piura Salt Flats(1139) |  |
|---|
Russia | Arsenjevka(1849 ), Biryusa(1699), Bolsaja Ussurka(1850), Jenisei(1669 ), Kan(1703), Ket(1668), Mura(1700), Oka(1698), Ussuri(1848), Vladivostok(1847 ) |  |
|---|
Rwanda | Nyabarongo(1503) |  |
|---|
Somalia | El Der(1532 ), Lach Bissigh(1525) |  |
|---|
South Africa | Hendrik Vernwoerddam(1232), Vis(1226 , 1227 ) |  |
|---|
Tanzania | Magogo(1325 ), Mara(1323) |  |
|---|
Tunisia | Oued Melan(1361) |  |
|---|
Turkey | Buyukmenderes(1961), Gediz(1960), River north of Tire(1963) |  |
|---|
USA | Arkansas(451), Black(449, 2467 ), El Mirage Lake(2451 ), Little Souix(2472 ), Mississippi(92, 447), Red(467), Salinas(545), Seneca(1000 ), Trinity(454, 455 , 469 ), Tule(1350), Wallkill(998) |  |
|---|
Vietnam | La Nga(2184) |  |
|---|
Zaire | Lake Mweru(553   ), Lualaba(1331, 1330) |  |
|---|
Zambia | Chambeshi(1310 ), Kafue(1285 ), Kafue Flats(549 ), Luangwa(268, 1289), Lungwebungu(1275), Machile(283    ), Zambezi(285, 102 ), Zambezi Trib(286) |  |
|---|
Zimbabwe | Luangwa(1312) |  |
|---|