The use of multi-temporal NOAA/AVHRR data to monitor surface moisture status in the Huaihe River Basin, China

Kondo, Akira; Higuchi, Atsushi; Kishi, Satoshi; Fukuzono, Teruki; Li, J.

doi:10.1016/s0273-1177(97)01126-5

Cited by 14 publications

(10 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NDVI was an effective index to monitor the change of vegetation and environment. NDVI was not only closely correlated to vegetation growth but also to precipitation change in a long time scale (Kondo et al, 1998;Richard and Pocccard, 1998;Stoms et al, 2000). A new eco-hydrological index (holding water index), which was expressed by the difference of vegetation growth from April to September between precipitation and runoff divided by the product of precipitation and NDVI (see succeeding equation), was used in this study to represent the eco-hydrological functions of different catchments: 9 4 9 9 4 4 ( )…”

Section: Methodsmentioning

confidence: 99%

“…Normalized difference vegetation index (NDVI) expresses synthetical characteristics of vegetation soil and moisture in a pels. NDVI, as an ecological function index, was applied to the study on the relationship between vegetation and environments (Kondo et al, 1998). The paper analyzed the relationship of landscape pattern and landscape eco-hydrological functions at a watershed based on landscape pattern rainfall runoff, and NDVI.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Landscape pattern and eco-hydrological characteristics at the upstream of Minjiang River, China

Jianping

Park

et al. 2006

Front. Biol. China

View full text Add to dashboard Cite

Based on three scenes of Landsat 5 Thematic Mapper (TM) satellite images acquired on June 26, 1994, 12 land cover types were identified by the supervised classification techniques. The precipitation, runoff, and normalized difference vegetation index (NDVI) data of six catchments were accumulated from April to September in 1992September in , 1993September in , and 1995. A new eco-hydrological index, expressed by the difference between precipitation and runoff divided by the product of precipitation and NDVI, was used in this study to represent the eco-hydrological functions of different catchments. The results were: (1) The selected six catchments at the upstream of Minjiang River, China were different in landscape patterns in terms of landscape type and cover. There were higher contagion, lower edge density and diversity index in the Shouxi catchments and lower contagion, higher edge density and diversity index in the Zagunao catchments. (2) Eco-hydrological indexes had remarkable differences among different catchments. The highest eco-hydrological index was found in the Shouxi catchments, which indicated higher precipitation holding capacity of vegetation therein. While the lower eco-hydrological index was found in the Zagunao catchments, which indicated its lower precipitation holding capacity of vegetation. (3) High correlation was detected between the landscape indexes and eco-hydrological indexes. Eco-hydrological index was positively correlated with landscape contagion in contrast with the negative correlation with landscape diversity and edge density.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Landscape pattern and eco-hydrological characteristics at the upstream of Minjiang River, China

Jianping

Park

et al. 2006

Front. Biol. China

View full text Add to dashboard Cite

show abstract

“…The antecedent precipitation index (API) is frequently used for qualitative judgment of the soil wetness condition (Saxton and Lenz, 1967;Iwai and Ishiguro, 1977;Wang, 1985;Choudhury and Blanchard, 1983;Kondo et al 1998;Shinoda et al 2000). Although there are many types of API expressions, the one used in our paper is given by the following equation (Choudhury and Blanchard, 1983):…”

Section: Estimation Of Soil Wetness Conditionmentioning

confidence: 99%

Estimating surface moisture availability for evaporation on bare soil from routine meteorological data and its parameterization without soil moisture

Hirota¹,

Fukumoto²

2009

J. Agric. Meteorol.

View full text Add to dashboard Cite

Surface moisture availability is the most important parameter for estimating evaporation from bare soil using the bulk transfer method. In this study, we developed a simple method for the estimation and parameterization of surface moisture availability over a period ranging from 10 days to several months on bare soil using only routine meteorological data without using sensible and latent heat flux and soil moisture data. If the daily mean soil temperature is observed with other routine meteorological data of daily values (air temperature, solar radiation, precipitation, wind speed, humidity, etc.), surface moisture availability can be estimated by using a simple soil temperature model without using the sensible and latent heat flux observation data. The simple soil temperature model is composed of the heat balance equation at the ground surface, bulk transfer method and modified version of the force-restore model for estimating daily mean soil temperature. The estimation period of surface moisture availability ranges from 10 days to several months according to precipitation conditions that reflect soil wetness. The antecedent precipitation index (API) is an effective indicator by which the soil wetness condition can be judged without using soil moisture. This enables classification of proper estimation periods of surface moisture availability. The surface moisture availability is estimated by minimizing the sum of the squares of the residual between the observed value of the daily mean soil temperature and the calculated value under the estimation period as classified by API. Furthermore, for the purpose of estimating daily mean soil temperature and cumulative evaporation on bare soil using only routine meteorological data, we propose that the surface moisture availability can be parameterized using the ratio of precipitation to potential evaporation with estimation periods ranging from 10 days to several months.

show abstract

“…The VI-T s method, based on a scatter plot of a remotely sensed spectral index (VI) and surface radiant temperature (T s ), was proposed by Goward et al (1985) and has been a power tool for application of satellite remote sensing to land surface studies (e.g. Nemani and Running, 1989;Nemani et al, 1993;Gillies and Carlson, 1995;Kondoh et al, 1998;Nishida et al, 2000;Goward et al, 2002;Sandholt et al, 2002;Higuchi et al, 2007). The other assumption is that the wind speed at a height of 500 m above the land surface is homogeneous in a sampling window within the study area.…”

Section: The First Challenge: Minimizing the Requirements Of Ground Omentioning

confidence: 99%

Methods for retrieving hydrologically significant surface parameters from remote sensing: a review for applications to east Asia region

Matsushita

Fukushima

2008

Hydrological Processes

View full text Add to dashboard Cite

Abstract:As human populations and resource use continue to increase, water quality and water resource management will become major problems. With its advantages of large area coverage, high spatial resolution, frequent update and consistent quality, remote sensing has been widely used for hydrological studies and water resources management. This paper focuses on three potential functions of remote sensing for hydrological analysis in east Asia: (1) monitoring water quality in turbid lakes; (2) extracting impervious surface areas (ISAs) from watersheds and (3) estimating evapotranspiration in semi-arid areas. Reviewing the results of the above three topics, it becomes clear that the ability of the current remote sensing technique is still limited in terms of its use in hydrological simulations. An alternative to improving the sensors is developing effective algorithms to compensate for the limitations of current satellite sensors.

show abstract

The use of multi-temporal NOAA/AVHRR data to monitor surface moisture status in the Huaihe River Basin, China

Cited by 14 publications

References 11 publications

Landscape pattern and eco-hydrological characteristics at the upstream of Minjiang River, China

Landscape pattern and eco-hydrological characteristics at the upstream of Minjiang River, China

Estimating surface moisture availability for evaporation on bare soil from routine meteorological data and its parameterization without soil moisture

Methods for retrieving hydrologically significant surface parameters from remote sensing: a review for applications to east Asia region

Contact Info

Product

Resources

About