scholarly journals Assessment of remotely sensed soil moisture products and their quality improvement: A case study in South Korea

2019 ◽  
Vol 24 ◽  
pp. 14-27
Author(s):  
Moonhyuk Kwon ◽  
Dawei Han
Keyword(s):  
Quality Improvement ◽  
Soil Moisture ◽  
South Korea ◽  
Remotely Sensed

A two-step fusion framework for quality improvement of a remotely sensed soil moisture product: A case study for the ECV product over the Tibetan Plateau

2020 ◽  
Vol 587 ◽  
pp. 124993 ◽  
Author(s):  
Yaokui Cui ◽  
Xuebin Yang ◽  
Xi Chen ◽  
Wenjie Fan ◽  
Chao Zeng ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Soil Moisture ◽  
Tibetan Plateau ◽  
Remotely Sensed ◽  
The Tibetan Plateau ◽  
Fusion Framework

scholarly journals Spatio‐temporal drought patterns of multiple drought indices based on precipitation and soil moisture: A case study in South Korea

2019 ◽  
Vol 39 (12) ◽  
pp. 4669-4687 ◽  
Author(s):  
Moonhyuk Kwon ◽  
Hyun‐Han Kwon ◽  
Dawei Han
Keyword(s):  
Soil Moisture ◽  
South Korea ◽  
Drought Indices ◽  
Spatio Temporal

scholarly journals Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa

2008 ◽  
Vol 12 (3) ◽  
pp. 751-767 ◽  
Author(s):  
T. Vischel ◽  
G. G. S. Pegram ◽  
S. Sinclair ◽  
W. Wagner ◽  
A. Bartsch
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Soil Moisture ◽  
Hydrological Model ◽  
Regional Scale ◽  
Remotely Sensed ◽  
Hydrological Models ◽  
Good Correspondence ◽  
Physically Based

Abstract. The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second estimate is derived from the scatterometer on board the European Remote Sensing satellite (ERS). Results show a good correspondence between the modelled and remotely sensed soil moisture, particularly with respect to the soil moisture dynamic, illustrated over two selected seasons of 8 months, yielding regression R2 coefficients lying between 0.68 and 0.92. Such a close similarity between these two different, independent approaches is very promising for (i) remote sensing in general (ii) the use of hydrological models to back-calculate and disaggregate the satellite soil moisture estimate and (iii) for hydrological models to assimilate the remotely sensed soil moisture.

Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea

2018 ◽  
Vol 56 (1) ◽  
pp. 43-67 ◽  
Author(s):  
Chang suk Lee ◽  
Eunha Sohn ◽  
Jun Dong Park ◽  
Jae-Dong Jang
Keyword(s):  
Soil Moisture ◽  
Deep Learning ◽  
South Korea ◽  
Satellite Data

scholarly journals Farmers’ and Consumers’ Preferences for Drinking Water Quality Improvement through Land Management Practices: The Case Study of the Soyang Watershed in South Korea

2018 ◽  
Vol 10 (5) ◽  
pp. 1419
Author(s):  
Saem Lee ◽  
Hyun Kim ◽  
Trung Nguyen ◽  
Thomas Koellner ◽  
Hio-Jung Shin
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Improvement ◽  
South Korea ◽  
Land Management ◽  
Management Practices ◽  
Drinking Water Quality ◽  
Water Quality Improvement

scholarly journals Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa

2007 ◽  
Vol 4 (4) ◽  
pp. 2273-2306 ◽  
Author(s):  
T. Vischel ◽  
G. Pegram ◽  
S. Sinclair ◽  
W. Wagner ◽  
A. Bartsch
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Soil Moisture ◽  
Hydrological Model ◽  
Regional Scale ◽  
Remotely Sensed ◽  
Hydrological Models ◽  
Good Correspondence ◽  
Physically Based

Abstract. The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second estimate is derived from the scatterometer on board on the European Remote Sensing satellite (ERS). Results show a very good correspondence between the modelled and remotely sensed soil moisture, illustrated over two selected seasons of 8 months by regression R2 coefficients lying between 0.78 and 0.92. Such a close similarity between these two different, independent approaches is very promising for (i) remote sensing in general (ii) the use of hydrological models to back-calculate and disaggregate the satellite soil moisture estimate and (iii) for hydrological models to assimilate the remotely sensed soil moisture.

SEKOLAH GRATIS DAN MUTU SEKOLAH: STUDI KASUS DI SMAN 2 BABAT TOMAN MUSI BANYUASIN SUMSEL

2015 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Afriantoni Afriantoni ◽  
Ibrahim Ibrahim
Keyword(s):  
Quality Improvement ◽  
Qualitative Method ◽  
School Quality ◽  
School Policy ◽  
School Education ◽  
Education Quality ◽  
Free School ◽  
School Costs

This study aimed to describe in depth between the link of school policy and the school quality improvement. The method in this study is a qualitative method using the case study presented descriptively. This research was conducted at SMA Negeri 2 Babat Tomat Kabupaten Musi Banyuasin. Based on this study it was found that the First, free school policy can help the economy / ease the burden of school costs to be incurred by the parents. Second, the policy constraints of the application for free school educa-tion at SMAN 2 Babat Toman is not very effective, so that the students' interest is not increasing, infrastructure is one of the obstacles in the implementation of free school education, how the quality of schools will be increased if it is not supported by facilities and complete infrastructure. Third, the quality of school education free SMAN 2 Babat Toman already realized well with regard to input, input turns unselected maximum, that is the students. Fourth, the implementation of free school education in Banyuasin, the quality of school SMAN 2 Babat Toman Muba Sumsel was not increased. This means that the implementation for free school education quality of school SMAN 2 Babat Toman was not increased.Keywords : free schools, school quality, case studies

QUALITY IMPROVEMENT BY USING SIX SIGMA IN AN AUTOMOTIVE INDUSTRY: A CASE STUDY

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Amit Yadav ◽  
Dr. VK Sukhwani
Keyword(s):  
Quality Improvement ◽  
Automotive Industry ◽  
Six Sigma
Sign in / Sign up

Export Citation Format

Share Document