Sign in
Author
|
Conference
|
Journal
|
Organization
|
Year
|
DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(13)
Coastal Area
Cropping System
Empirical Mode Decomposition
Indexation
Land Surface Temperature
Maximum Likelihood Classification
Normalized Difference Vegetation Index
Principal Component Analysis
Soil Moisture
Spatial Data
Time Series
Vietnam
Water Management
Subscribe
Academic
Publications
Monitoring of soil moisture variability in relation to rice cropping systems in the Vietnamese Mekong Delta using MODIS data
Monitoring of soil moisture variability in relation to rice cropping systems in the Vietnamese Mekong Delta using MODIS data,10.1016/j.apgeog.2010.10.
Edit
Monitoring of soil moisture variability in relation to rice cropping systems in the Vietnamese Mekong Delta using MODIS data
(
Citations: 2
)
BibTex
|
RIS
|
RefWorks
Download
Chi-Farn Chen
,
Nguyen-Thanh Son
,
Li-Yu Chang
,
Cheng-Cru Chen
Information on
soil moisture
is important for crop and water management. This study investigated
soil moisture
variability in relation to rice cropping systems in the Mekong Delta (MD), Vietnam, using MODIS data acquired from January to April, 2002 to 2007. The
soil moisture
was estimated using the temperature vegetation dryness index (TVDI). This index was empirically calculated by parameterizing the relationship between the MODIS
land surface temperature
(LST) and the
normalized difference vegetation index
(NDVI) data. The rice cropping systems were classified using time-series MODIS NDVI data for 2002 and 2006. The data were processed using
empirical mode decomposition
(EMD),
principal component analysis
(PCA) and
maximum likelihood classification
(MLC) methods. Various spatial and non-spatial data were also collected for accuracy validation of the TVDI and classification results. Comparisons reveal good agreement between the TVDI and daily rainfall data. The areas with low
soil moisture
were mainly distributed in coastal areas from 2002 to 2005, but expanded into the middle of the MD in 2006 and 2007. The largest area of low
soil moisture
was observed in 2006. Classification of rice cropping systems reveals an overall accuracy and Kappa coefficient for 2002 of 76.3% and 0.68, respectively while the values for 2006 were 76.9% and 0.69, respectively. To relate
soil moisture
with rice cropping systems, we aggregated the composite
soil moisture
maps (considering dry and very dry classes only) with the rice crop maps for 2002 and 2006. The results indicate a remarkable increase in the area of double and triple irrigated–rice cropping systems in areas of low
soil moisture
(i.e., dry and very dry conditions) during this period. This study demonstrated the merits of using MODIS data for studying soil variability in relation to rice crops which is important for crop and water management.
Journal:
Applied Geography - APPL GEOGR
, vol. 31, no. 2, pp. 463-475, 2011
DOI:
10.1016/j.apgeog.2010.10.002
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
www.sciencedirect.com
)
Sort by:
Citations
(2)
A phase I study of sirolimus and bevacizumab in patients with advanced malignancies
E. E. W. Cohen
,
M. R. Sharma
,
L. Janisch
,
M. Llobrera
,
L. House
,
K. Wu
,
J. Ramirez
,
G. F. Fleming
,
W. M. Stadler
,
M. J. Ratain
Journal:
European Journal of Cancer - EUR J CANCER
, vol. 47, no. 10, pp. 1484-1489, 2011
A flexible soil moisture calculation workflow under geographic Web Service
Jiaying Chen
,
Haitao Zhang
,
Jianli Gu
,
Long Guo
,
Nengcheng Chen
Conference:
International Conference on GeoInformatics - Geoinformatics
, pp. 1-6, 2011