干旱区生态环境知识资源中心(Arid): Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series

Arid

DOI	10.3390/s21217403
	Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series
	Fil, Pavel P.; Yurova, Alla Yu; Dobrokhotov, Alexey; Kozlov, Daniil
通讯作者	Fil, PP (corresponding author), V Dokuchaev Soil Sci Inst, Moscow 109017, Russia. ; Fil, PP (corresponding author), Lomonosov Moscow State Univ, Dept Geog, Moscow 119991, Russia.
来源期刊	SENSORS
EISSN	1424-8220
出版年	2021
卷号	21 期号:21
英文摘要	In semi-arid ecoregions of temperate zones, focused snowmelt water infiltration in topographic depressions is a key, but imperfectly understood, groundwater recharge mechanism. Routine monitoring is precluded by the abundance of depressions. We have used remote-sensing data to construct mass balances and estimate volumes of temporary ponds in the Tambov area of Russia. First, small water bodies were automatically recognized in each of a time series of high-resolution Planet Labs images taken in April and May 2021 by object-oriented supervised classification. A training set of water pixels defined in one of the latest images using a small unmanned aerial vehicle enabled high-confidence predictions of water pixels in the earlier images (Cohen's & UKappa; = 0.99). A digital elevation model was used to estimate the ponds' water volumes, which decreased with time following a negative exponential equation. The power of the exponent did not systematically depend on the pond size. With adjustment for estimates of daily Penman evaporation, function-based interpolation of the water bodies' areas and volumes allowed calculation of daily infiltration into the depression beds. The infiltration was maximal (5-40 mm/day) at onset of spring and decreased with time during the study period. Use of the spatially variable infiltration rates improved steady-state shallow groundwater simulations.
英文关键词	closed depressions temporary water bodies remote sensing infiltration
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000719034300001
WOS关键词	PRAIRIE POTHOLE REGION ; HYDROLOGIC CONNECTIVITY ; WETLANDS ; EVAPORATION ; SOIL ; SIMULATIONS ; GRADIENT ; STREAMS ; MODELS
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368188
作者单位	[Fil, Pavel P.; Yurova, Alla Yu; Kozlov, Daniil] V Dokuchaev Soil Sci Inst, Moscow 109017, Russia; [Fil, Pavel P.] Lomonosov Moscow State Univ, Dept Geog, Moscow 119991, Russia; [Dobrokhotov, Alexey] Agrophys Res Inst, St Petersburg 195220, Russia
推荐引用方式 GB/T 7714	Fil, Pavel P.,Yurova, Alla Yu,Dobrokhotov, Alexey,et al. Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series[J],2021,21(21).
APA	Fil, Pavel P.,Yurova, Alla Yu,Dobrokhotov, Alexey,&Kozlov, Daniil.(2021).Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series.SENSORS,21(21).
MLA	Fil, Pavel P.,et al."Estimation of Infiltration Volumes and Rates in Seasonally Water-Filled Topographic Depressions Based on Remote-Sensing Time Series".SENSORS 21.21(2021).