參考文獻 |
Adams, J.B., Smith, M.O., Johnson, P.E., 1986. Spectral mixture modelling: A new analysis
of rock and soil types at the Viking Lander I Site. Journal of Geophysical Research 79,
8098-8112.
Boardmann, J.W., Kruse, F.A., Green, R.O., 1995. Mapping target signatures via partial
unmixing of aviris data. The fifth JPL Airborne Earth Science Workshop. JPL, pp. 23–
26.
Boegh, E., Soegaard, H., Hanan, N., Kabat, P., Lesch, L., 1998. A remote sensing study of the
NDVI-Ts relationship and the transpration from sparse vegetation in the Sahel based
on high resolution satellite data. Remote Sensing of Environment 69, 224–240.
Bolstad, P., Lillesand, T.M., 1991. Rapid Maximum Likelihood classification.
Photogrammetric Engineering and Remote Sensing 57, 67-74.
Bolstead, P., Lillesand, T.M., 1991. Automated GIS integration in land cover classification.
ACSM-ASPRS Annual Convention, pp. 23-32.
Bosdogianni, P., Petrou, M., Kittler, J., 1997. Mixed Pixel Classification for Robust Statistics.
IEEE Transaction on Geoscience and Remote Sensing 35, 551-559.
Boser, B.E., Guyon, I., Vapnik, V., 1992. A training algorithm for optimal margin classiers.
The Fifth Annual Workshop on Computational Learning Theory. ACM Press.
Bouvet, A., Le-Toan, T., Lam-Dao, N., 2009. Monitoring of the rice cropping system in the
Mekong Delta using Envisat/Asar dual polarization data. IEEE Transactions on
Geoscience and Remote Sensing 47, 517-526.
Bruce, L.M., Morgan, C., Larsen, S., 2001. Automated detection of subpixel hyperspectral
targets with continuous and discrete wavelet transforms. IEEE Transactions on
Geoscience and Remote Sensing 39, 2217-2226.
Bui, C.B., Nguyen, T.L., 2004. Improving rice productivity under water constraints in the
Mekong Delta, Vietnam. In: Seng, V., Craswell, E., Fukai, S. and Fisher, K. eds.
Water in agriculture. ACIAR, pp. 196-202.
Burrus, C.S., Gopinath, R.A., Guo, H., 1998. Introduction to wavelets and wavelet transforms:
A primer. Prentice-Hall, Englewood Cliffs, NJ.
Campbell, J.B. (Ed), 2002. Introduction to remote sensing. Guilford Press, New York.
Camps-Valls, G.a.B., L., 2005. Kernel-based methods for hyperspectral image classification.
IEEE Transactions on Geoscience and Remote Sensing 43, 1351–1362.
Canisius, F., Turral, H. and Molden, D., 2007. Fourier analysis of historical NOAA time
series data to estimate bimodal agriculture. International Journal of Remote Sensing 28,
5503-5522
Carlson, T., Gillies, R., Perry, E., 1994. A method to make use of thermal infrared
temperature and NDVI measurements to infer surface soil water content and fractional
vegetation cover. Remote Sensing Reviews 9, 161–173.
Carlson, T.N., 2005. Review: an overview of the ‘‘triangle method’’ for estimating surface
evapotranspiration and soil moisture from satellite imagery. Sensors 7, 1612–1629.
113
Carreiras, J.M.B., Shimabukuro, Y.E., Pereira, J.M.C., 2002. Fraction images derived from
SPOT-4 vegetation data to assess land-cover change over the State of Mato Grosso,
Brazil. International Journal of Remote Sensing 23, 4979-4983.
Chauhan, N.S., 2003. Spaceborn soil moisture estimation at high resolution: a microwaveoptical/
IR synergistic approach. International Journal of Remote Sensing 24, 4599–
4622.
Chen, Q., Li, Z., Wang, L., Wei, X.L., 2007. The study of estimating soil moisture using ERS
wind scatterometer. Journal of Remote Sensing in China 11, 803–810.
Chen, S.T., Yu, P.S., 2007. Real-time probabilistic forecasting of flood stages. Journal of
Hydrology 340, 63–77.
Chiew, F.H.S., Peel, M.C., Amirthanathan, G.E., Pegram, G.G.S., 2005. Identification of
oscillations in historical global streamflow data using empirical mode decomposition.
Seventh IAHS Scientific Assembly at Fozdo Iguaçu, Brazil. IAHS Publisher.
Claps, P., Laguardia, G., 2004. Assessing spatial variability of soil water content through
Thermal Inertia and NDVI. In: Owe, M., D'Urso, G., Moreno, J. F., Calera, A., eds.
Remote Sensing for Agriculture, Ecosystems, and Hydrology V. Proceedings of SPIE,
Bellingham, SPIE.
Congalton, R.G., Green, K., 2008. Assessing the accuracy of remotely sensed data: Principles
and practices. CRC.
Cortes, C., Vapnik, V., 1995. Support-vector network. Machine Learning 20, 273-297.
Czajkowski, K., Goward, S.N., Stadler, S.J., Waltz, A., 2000. Thermal remote sensing of near
surface environmental variables: application over the Oklahoma Mesonet. Professional
Geographer 52, 345–357.
de Troch, F.P., Troch, P.A., Su, Z., Lin, D.S., 1996. Application of remote sensing for
hydrological modelling. Kluwer Academic Publishers.
Defries, R.S., Hansen, M.C., Townshend, J.R.G., 2000. Global continuous fields of vegetation
characteristics: a linear mixture model applied to multi-year 8 km AVHRR data.
International Journal of Remote Sensing 21, 1389-1414.
Dewan, A.M., Yamaguchi, Y., 2009. Land use and land cover change in Greater Dhaka,
Bangladesh: Using remote sensing to promote sustainable urbanization. Applied
Geography 29, 390-401.
Duchemin, B., Hadria, R., Er-Raki, S., Boulet, G., Maisongrande, P., Chehbouni, A.,
Escadafal, R., Ezzahar, J., Hoedjes, J., Kharrou, M.H., Khabba, S., Mougenot, B.,
Olioso, A., Rodriguez, J.C., Simonneaux, V., 2006. Monitoring wheat phenology and
irrigation in Center of Morocco: on the use of relationship between evapotranspiration,
crops coefficients, leaf area index and remotely-sensed vegetation indices. Agricultural
Water Management 79, 1-27.
Dupigny-Giroux, L., Lewis, J.E., 1999. A moisture index for surface characterization over a
semiarid area. Photogrammetric Engineering and Remote Sensing 65, 937–946.
Elmore, A.J., Mustrard, J.F., Manning, S., Lobell, D.B., 2003. Quantifying vegetation change
in semiarid environments: Precision and accuracy of spectral mixture analysis and the
Normalized Difference Vegetation Index. Remote Sensing of Environment 73, 87-102.
Engman, E.T., 1990. Progress in microwave remote sensing of soil moisture. Canadian
Journal of Remote Sensing 16, 6–14.
114
Envitutorial, 2010. Envi version 4.5 Environment for Visualising Images.
Evans, J.P., Geerken, R., 2006. Classifying rangeland vegetation type and coverage using a
Fourier component based similarity measure. Remote Sensing of Environment 105, 1-
8.
FAO, 2005. Drought-resistant soils: optimization of soil moisture for sustainable plant
production. Rome, Italy.
Flandrin, P., 1999. Tame-frequency/time-scale analysis. Academic Press, San Diego, CA.
Flandrin, P., Goncalves, P., 2004. Empirical mode decomposition as data-driven wavelet-like
expansions. International Journal of Wavelets, Multiresolution and Information
Processing 2, 477-496.
Foody, G.M., 1991. Soil moisture content ground data for remote sensing investigation of
agriculture region. International Journal of Remote Sensing 12, 1461–1469.
Foody, G.M., Mathur, A., 2004a. A relative evaluation of multiclass image classification by
support vector machines. Geoscience and Remote Sensing, IEEE Transactions on 42,
1335-1343.
Foody, G.M., Mathur, A., 2004b. Toward intelligent training of supervised image
classifications: directing training data acquisition for SVM classification. Remote
Sensing of Environment 93, 107-117.
Friedl, M.A., Davis, F.W., 1994. Sources of variation in radiometric surface temperature over
a tall-grass prairie. Remote Sensing of Environment 48, 1–17.
Galford, G.L., Mustarda, J.F., Melillo, J., Gendrin, A., Cerri, C.C., 2008. Wavelet analysis of
MODIS time series to detect expansion and intensification of row-crop agriculture in
Brazil. Remote Sensing of Environment 112, 576-587.
Garcia-Haro, F.J., Gilabert, M.A., Melia, J., 1996. Linear spectral mixture modeling to
estimate vegetation amount from optical spectral data. International Journal of Remote
Sensing 17, 3373-3400.
Gillies, R.R., Kustas, W.P., Humes, K.S., 1997. A verification of the “triangle” method for
obtaining surface soil water content and energy fluxes from remote measurements of
the Normalized Difference Vegetation Index (NDVI) and surface radiant temperature.
International Journal of Remote Sensing 18, 3145–3166.
Gloersen, P., Huang, N.E., 2003. Comparison of interannual intrinsic modes in hemispheric
sea ice covers and other geophysical parameters. IEEE Transactions on Geoscience
and Remote Sensing 41, 1062-1074.
Goetz, S.J., 1997. Multisensor analysis of NDVI, surface temperature and biophysical
variables at a mixed grassland site. Intnernational Journal of Remote Sensing 18, 71-
94.
Goward, S.N., Xue, Y., Czarjkowski, K.P., 2002. Evaluating land surface moisture conditions
from the remotely sensed temperature/vegetation index measurement: An exploration
with the simplified simple biosphere model. Remote Sensing of Environment 79, 225-
242.
Grochenig, K., 2001. Foundations of time-frequency analysis. Birkhauser.
GSO, 2007. Statistical yearbook of Vietnam. Hanoi, Vietnam.
115
Gualtieri, J.A., Cromp, R.F., 1998. Support vector machines for hyperspectral remote sensing
classification. The 27th AIPR Workshop, Advances in Computer Assisted Recognition,
Proceeding of the SPIE.
Hall, F.G., Townshend, J.R., Engman, E.T., 1995. Status of remote sensing algorithms for
estimation of land surface state parameters. Remote Sensing of Environment 51, 138–
156.
Han, Y., Wang, Y., Zhao, Y., 2010. Estimating soil moisture conditions of the Greater
Changbai mountains by land Surface temperature and NDVI. IEEE Transactions On
Geoscience and Remote Sensing 48, 2509 - 2515.
Heinz, D.C., Chang, C.I., 2001. Fully constrained least squares linear spectral mixture
analysis method for material quantification in hyperspectral imagery. IEEE
Transactions on Geoscience and Remote Sensing 39, 529-545.
Horwitz, H.M., Nalepka, R.F., Hyde, P.D., Morganstern, J.P., 1971. Estimating the proportion
of objects within a single resolution element of a multispectral scanner. The 7th
International Symposium on Remote Sensing of Environment, Environmental
Research Institute of Michigan, USA.
Howie, C., 2005. High dykes in the Mekong Delta in Vietnam bring social gains and
environmental pains. Aquaculture News, pp. 15 – 17.
Hsu, C.W., Chang, C.C., C.J., L., 2010. A practical guide to support vector classication.
Department of Computer Science, National Taiwan University, Taiwan.
Huang, C., Davis, L.S., Townshend, J.R., 2002. An assessment of support vector machines for
land cover classification. International Journal of Remote Sensing 23, 725-749.
Huang, C., Davis, L.S. and J.R.G., 2002. Townshend An assessment of support vector
machines for land cover classification. International Journal of Remote Sensing 23,
725–749.
Huang, N.E., Chen, C.C., Huang, K., Salvino, L.W., Long, S.R., Fan, K.L., 2001. A new
spectral analysis of station TCU129, Chi-Chi, Taiwan, 21 September 1999. Bulletin of
the Seismological of America 91, 1310–1338.
Huang, N.E., Shen, S.S.P., 2005. Hilbert-Huang transform and its applications. World
Scientific Publishing Co. Pte. Ltd., Singapore.
Huang, N.E., Shen, Z., Long, S.R., 1999. A new view of nonlinear water waves: the Hilbert
spectrum. Annual Review of Fluid Mechanics 31, 417-457.
Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C.,
Liu, H.H., 1998. The empirical mode decomposition and the Hilbert spectrum for
nonlinear and non-stationary time series analysis. Proceedings of the Royal Society
London A 454, 903 995.
Huang, N.E., Wu, M.C., Long, S.R., Shen, S.S.P., Qu, P., Gloersen, P., Fan, K.L., 2003b. A
confidence limit for the empirical mode decomposition and Hilbert spectral analysis.
Proceedings of the Royal Society of London 495 2037-2345.
Jackson, T.J., Chen, D., Cosh, M., Li, F., Anderson, M., Walthall, C., Doriaswamy, P., Hunt,
E.R., 2004. Vegetation water content mapping using Landsat data derived normalized
difference water index for corn and soybeans. Remote Sensing of Environment 92,
475–482.
116
Jensen, J.R., 1996. Introductory digital image processing: A remote sensing perspective.
Prentice-Hall Inc., London.
Johnson, R.W., Tothill (Eds.), 1985. Definition and broad geographic outline of savanna lands,
In Ecology and Management of the World’s Savannas Edited by J.C. Tothill, J.J.Mott.
Australlian Academia of Science.
Justice, C.O., Vermote, E.F., Townshend, J.R.G., Defries, R.S., Roy, D.P., Hall, D.K.,
Salomonson, V.V., Privette, J.L., Riggs, G., Strahler, A.H., Lucht, W., Myneni, R.B.,
Knyazikhin, Y., Running, S.W., Nemani, R.R., Wan, Z., Huete, A.R., Van Leeuwen,
W.J.D., Wolfe, R.E., Giglio, L., Muller, J.P., Lewis, P., Barnsley, M.J., 1998. The
Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for
global change research. IEEE Transactions on Geoscience and Remote Sensing 36,
1228-1249.
Keerthi, S., Lin, C.J., 2003. Asymptotic behaviors of support vector machines with Gaussian
kerne. Neural Computation 15, 1667–1689.
Kerdiles, H.A., Grondona, M.O., 1995. NOAA-AVHRR NDVI decomposition and subpixel
classification using linear mixing in the Argentinean Pampa. International Journal of
Remote Sensing 16.
Kerdiles, H.a.G., M.O., 1995. NOAA-AVHRR NDVI decomposition and subpixel
classification using linear mixing in the Argentinean Pampa. International Journal of
Remote Sensing 16, 1303-1325.
Kramer, P.J., 1969. Plant and soil water relationship. McGraw Hill Inc.
Kruse, F.A., Boardman, J.W., Lefkoff, A.B., Heidebrecht, K.B., Shapiro, A.T., Barloon, P.J.,
Goetz, A.F.H., 1993. The spectral image processing system (SIPS): Interactive
visualization and analysis of imaging spectrometer data. Remote Sensing of
Environment 44, 145-163.
Kustas, W.P., Moran, M.S., Norman, J.M., 2003. Evaluating the spatial distribution of
evaporation. John Wiley & Sons.
Lam-Dao, N., Le-Toan, T., Apan, A., Bouvet, A., Young, F., Le-Van, T., 2009. Effects of
changing rice cultural practices on C-band synthetic aperture radar backscatter using
Envisat advanced synthetic aperture radar data in the Mekong River Delta. Journal of
Applied Remote Sensing 3, 1-17.
Lambin, E.F., Ehrlich, D., 1996. The surface temperature-vegetation index space for land
cover and land-cover change analysis. International Journal of Remote Sensing 17,
463–487.
Le-Toan, T., Feurer, D., Florsch, G., 2003. RISAR Validation report – Rice mapping in the
Mekong delta, ESA contract No 13201/98/NL/SB CCN 002. CESBIO.
Li, X., 2006. Temporal structure of neuronal population oscillations with empirical mode
decomposition. Physics Letters A 356, 237–241.
Liang, H., Bressler, S.L., Desimone, R., Fries, P., 2005. Empirical mode decomposition: A
method for analyzing neural data. Neurocomputing 65–66, 801–807.
Lillesand, T.M., Kiefer, R.W., 1999. Remote sensing and image interpretation. John Wiley
and Sons, New York.
Lobell, D.B., Asner, G.P., 2004. Cropland distributions from temporal unmixing of MODIS
data. Remote Sensing of Environment 93, 12-422.
117
Loutridis, S.J., 2005. Instantaneous energy density as a feature for gear fault detection.
Mechanical Systems and Signal Processing 20, 239–1253.
Mallat, S., 1989. A Theory for Multiresolution Signal Decomposition: the Wavelet
Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11,
674-693.
Mathur, A., Foody, G.M., 2008a. Multiclass and binary SVM classification: Implications for
training and classification users. IEEE Geoscience and Remote Sensing Letters 5,
241–245.
Matsumoto, M., Nishimura, T., 1998. Mersenne twister: A 623-dimensionally equidistributed
uniform pseudo-random number generator. ACM Transactions on Modeling and
Computer Simulation 8, 3–30.
Meer, F.v.d., 1999. Spatial Statistics for Remote Sensing. Kluwer Academic Publishers.
Melgani, F., Bruzzone, L., 2004. Classification of hyperspectral remote sensing images with
support vector machine. IEEE Trans. on Geoscience and Remote Sensing 42, 1778-
1790.
Meyer, Y., 1993. Wavelet Algorithms and Applications. Philadelphia: SIAM.
Mingwei, Z., Qingbo, Z., Zhongxin, C., Jia, L., Yong, Z., Chongfa, C., 2008. Crop
discrimination in Northern China with double cropping systems using Fourier analysis
of time-series MODIS data. International Journal of Applied Earth Observation and
Geoinformation, 10, 476-485.
Minh, H.N., Kawaguchi, T., 2002. Overview of rice production system in the Mekong Delta-
Vietnam. Journal of the Faculty of Agriculture, Kyushu University, Japan 47, 221–
231.
Mitra, D.S., Majumdar, T.J., 2004. Thermal inertia mapping over the Brahmaputra basin,
India using NOAA-AVHRR data and its possible geological applications.
International Journal of Remote Sensing of Environment 225, 3245-3260.
MONRE, 2009. Mekong Delta faces fresh water shortage.
Moran, M.S., Clarke, T.R., Inoue, Y., Vidal, A., 1994. Estimating crop water deficit using the
relation between surface-air temperature and spectral vegetation index. Remote
Sensing of Environment 49, 246–263.
Moran, M.S., Watts, J.M., Peters-Lidard, C.D., McElroy, S.A., 2004a. Estimating soil
moisture at the watershed scale with satellite-based radar and land surface models.
Canadian Journal of Remote Sensing 30.
Moran, M.S., Watts, J.M., Peters-Lidard, C.D., McElroy, S.A., 2004b. Estimating soil
moisture at the watershed scale with satellite-based radar and land surface models.
Canadian Journal of Remote Sensing 30, 805–826.
MRC, 2002. Annual Report 2001.
MRC, 2004. MRC joins global research effort to produce more food with less water. .
MRC, 2008. Preparing the Greater Mekong Subregion flood and drought risk management
and mitigation project.
NASA, 1999. Soil moisture. USA.
NASA, 2011a. Data products.
118
NASA, 2011b. MCST calibration Information.
Nash, D.B., Conel, J.E., 1974. Spectral refectrance systematics for mixtures of powdered
hypersthene, labradorite, and ilmenite. Journal of Geophysical Research 79, 615-1621.
Nemani, R., Pierce, L., Running, S.N., Goward, S.N., 1993. Developing satellite-derived
estimates of surface moisture status. Journal of Applied Meteorology 32, 548–557.
Nguyen, V.L., 2000. Crop diversification in Vietnam. In K. P. Minas, & J. D. Frank (Eds.),
Crop diversification in the Asia-Pacific Region. . Bangkok’ FAO Regional Office for
Asia and the Pacific.
Olhede, S., Walden, A.T., 2004. The Hilbert spectrum via wavelet projections. Proceedings of
the Royal Society London A 460, 955-975.
Oommen, T., Misra, D., Twarakavi, N.K.C., Prakash, A., Sahoo, B., Bandopadhyay, S., 2008.
An objective analysis of support vector machine based classification for remote
sensing. Mathematical Geosciences 40, 409–424.
Oryza, 2009. Mekong Delta won’t support future rice: Experts.
Otukei, J.R., Blaschke, T., 2010. Land cover change assessment using decision trees, support
vector machines and maximum likelihood classification algorithms. International
Journal of Applied Earth Observation and Geoinformation, 27–31.
Pal, M., Mather, P.M., 2004. Assessment of the effectiveness of support vector machines for
hyperspectral data. Future Generation Computer Systems 20, 1215–1225.
Pal, M., Mather, P.M., 2005. Support vector machines for classification in remote sensing.
International Journal of Remote Sensing 26, 1007–1011.
Patel, N.R., Anapashsha, R., Kumar, S., Saha, S.K., Dadhwal, V.K., 2009. Assessing potential
of MODIS derived temperature/vegetation condition index (TVDI) to infer soil
moisture status. International Journal of Remote Sensing 30, 23-29.
Peel, M.C., Amirthanathan, G.E., Pegram, G.G.S., McMahon, T.A., Chiew, F.H.S., 2005.
Empirical Mode Decomposition: Improvement and application. International Congress
on Modelling and Simulation.
Peng, Z.K., Tse, P.W., Chu, F.L., 2005. A comparison study of improved Hilbert-Huang
transform and wavelet transform: Application to fault diagnosis for rolling bearing.
Mechanical Systems and Signal Processing 19, 974-988.
Prince, S.D., Goward, S.N., 1995. Global Primary Production: a remote sensing approach.
Journal of Biogeography 22, 815-835.
Rao, A.R., Hsu, E.C., 2008. Hilbert-Huang Transform analysis of hydrological and
environmental time series. Springer, The Netherlands.
Ren, H., 2000. Unsupervised and generalized orthogonal subspace projection and constrained
energy minimization for target detection and classification in remotely sensed imagery.
Richards, J.A., Jia, X., 1999. Remote sensing digital image analysis: An introduction.
Springer-Verlag.
Rioul, O., 1993. A discrete-time multiresolution theory. IEEE Transactions on Signal
Processing, 2591−2606.
119
Robin, A., Hegarat-Mascle, S.L., Moisan, L., Poilve, H., 2005. Land cover classification from
coarse resolution time series. International Symposium on Remote Sensing of
Environment, Saint Petersbourg.
Sadeghi, A.M., Hancock, G.D., Waite, W.P., Scott, H.D., Rand, J.A., 1984. Microwave
measurements of moisture distributions in the upper soil profile. Water Resources
Research 20, 927–934.
Sakamoto, T., Nhan, N.V., Ohno, H., Ishitsuka, N., Yokozawa, M., 2006. Spatial-temporal
distribution of rice phenology and cropping systems in the Mekong delta with special
reference to the seasonal water flow of the Mekong and Bassac rivers. Remote Sensing
of Environment 100, 1-16.
Sakamoto, T., Phung, V.C., Kotera, A., Khang, D.N., Yokozawa, M., 2009. Analysis of rapid
expansion of inland aquaculture and triple rice-cropping areas in a coastal area of the
Vietnamese Mekong Delta using MODIS time-series imagery. Landscape and Urban
Planning 92, 34-46.
Sakamoto, T., Yokozawa, M., Toritani, H., Shibayama, M., Ishitsuka, N., Ohno, H., 2005. A
crop phenology detection method using time-series MODIS data. Remote Sensing of
Environment 96, 366-374.
Sandholt, I., Rasmussen, K., Andersen, J., 2002. A simple interpretation of the surface
temperature/vegetation index space for assessment of surface moisture status. Remote
Sensing of Environment 79, 213– 224.
Sellers, P.J., Berry, J.A., Collatz, G.J., Field, C.B., Hall, F.G., 1992. Canopy reflectance,
photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a
new canopy integration scheme. Remote Sensing of Environment 42, 187-216.
Smith, M.O., Johnson, P.E., Adams, J.B., 1985. Quantitative determination of mineral types
and abundances from reflectance spectra using principal components analysis. Journal
of Geophysical Research 90, 797-804.
Smith, M.O., Ustin, S.L., Adams, J.B., Gillespie, A.R., 1990. Vegetation in deserts: I. A
regional measure of abundance from multispectral images. Remote Sensing of
Environment 31, 1-36.
Smith, R.C.G., Choudhury, B.J., 1991. Analysis of normalized difference and surface
temperature observations over southeastern Australia. International Journal of Remote
Sensing 12, 2021–2044.
Sobrino, J.A., El Kharraz, M.H., 1999. Combining afternoon and morning NOAA satellites
for thermal inertia estimation 2. Methodology and application. Journal of Geophysical
Research 104, 9455-9465.
Song, K., Zhou, X., Fan, Y., 2009. Empirically adopted IEM for retrieval of soil moisture
from radar backscattering coefficients. IEEE Transsaction on Geoscience Remote
Sensing 47, 1662–1672.
Sub-NIAPP, 2000. Land-use map of the Mekong Delta. Vietnam.
Sun, W., Wang, P.X., Zhang, S.Y., Zhu, D.H., Liu, J.M., Chen, J.H., Yang, H.S., 2008. Using
the vegetation temperature condition index for time series drought occurrence
monitoring in the Guanzhong Plain, PR China. International Journal of Remote
Sensing 29, 5133-5144.
120
Townshend, J.R.G., 1992. Land cover. International Journal of Remote Sensing 13, 1319–
1328.
Tuong, N.T., 2001. Sea level measurement and sea level rise in Vietnam. UK.
Vapnik, V., 1995. The Nature of Statistical Learning Theory. Springer-Verlag, New York.
Verbeiren, S., Eerens, H., Piccard, I., Bauwens, I., Orshoven, J.V., 2006. Sub-pixel
classification of SPOT-VEGETATION time series for the assessment of regional crop
areas in Belgium. International Journal of Applied Earth Observation and
Geoinformation 10, 486-497.
Vermote, E.F., Kotchenova, S.Y., Ray, J.P., 2008. MODIS surface reflectance user’s guide.
Vermote, E.F., Vermeulen, A., 1999. Algorithm technical background document:
Atmospheric correction algorithm: spectral correction reflectances (MOD 09) (Version
4.0).
Verstraeten, W.W., Veroustraete, F., van der Sande, C.J., Grootaers, I., Feyen, J., 2006. Soil
moisture retrieval using thermal inertia, determined with visible and thermal
spaceborne data, validated for European forests. Remote Sensing of Environment 101,
299-314.
VietnamNet, 2009. Mekong Delta: more flood and drought.
VMWR, 1994. Strategy and action plan for mitigating water disasters in Vietnam. Department
of Humanitarian Affairs (DHA), United Nations Development Program.
VNS, 2007. Mekong Delta residents battle drought to save crops.
Wagenseil, H., Samimi, C., 2006. Assessing spatio-temporal variations in plant phenology
using Fourier analysis on NDVI time series: results from a dry savannah environment
in Namibia. International Journal of Remote Sensing 27, 3455–3471.
Walker, J., 1999. Estimating soil moisture profile dynamics from near-surface soil moisture
measurements and standard meteorological data. The University of Newcastle. The
University of Newcastle, Australia.
Wan, Z., Wang, P., Li, X., 2004. Using MODIS land surface temperature and Normalized
Difference Vegetation Index products for monitoring drought in the southern Great
Plains, USA. International Journal of Remote Sensing 25, 61–72.
Wang, C., Qi, S., Niu, Z., Wang, J., 2004. Evaluating soil moisture status in China using the
temperature–vegetation dryness index (TVDI). Canadian Journal of Remote Sensing
30, 671-679.
Wang, H., Li, X., Long, H., Xu, X., Bao, Y., 2010. Monitoring the effects of land use and
cover type changes on soil moisture using remote-sensing data: A case study in
China's Yongding River basin. Catena 82, 35–145.
Wang, L., Qu, J., 2009. Satellite remote sensing applications for surface soil moisture
monitoring: A review. Frontiers of Earth Science in China 3, 237–247.
Wang, P.X., Li, X.W., Gong, J.Y., Song, C.H., 2001. Vegetation temperature condition index
and its application for drought monitoring. Proceedings of International Geoscience
and Remote Sensing Symposium, Sydney, Australia, pp. 141–143.
Wardlow, B.D., Egbert, S.L., Kastens, J.H., 2007. Analysis of time-series MODIS 250 m
vegetation index data for crop classification in the U.S. Central Great Plains. Remote
Sensing of Environment 108, 290−310.
121
Westra, T., De Wulf, R.R., 2007. Monitoring Sahelian floodplains using Fourier analysis of
MODIS time-series data and artificial neural networks. International Journal of
Remote Sensing 28, 1595-1610.
White, I., Melville, M., Sammut, J., 1996. Possible impacts of saline water intrusion
floodgates in Vietnam's Lower Mekong Delta.
Witold, P., 1989. Fuzzy control and fuzzy system. John Wiley & Sons, New York, USA.
Wu, Z., Schneider, E.K., Hu, Z.Z., Cao, L., 2001. The impact of global warming on ENSO
variability in climate records. COLA Technical Report, CTR 110.
Xin, F., Tian, G., Liu, Q., Chen, L., 2006. Combining vegetation index and remotely sensed
temperature for estimation of soil moisture in China. International Journal of Remote
Sensing 27, 2071-2075.
Xue, H., Ni, S., 2006. Progress in the study on monitoring of soil moisture with thermal
infrared remote sensing. Agricultural Research in the Arid Areas 24, 168–172.
Xue, Y., Cracknell, A.P., 1995. Advanced thermal modeling. International Journal of Remote
Sensing 16, 431 446.
Yoshida, S., 1981. Fundamentals of rice crop science. The International Rice Research
Institute, Los Banos, Laguna, Philippines.
Zhang, M., Zhou, Q., Chen, Z., Liu, J., Zhou, Y., Cai, C., 2008. Crop discrimination in
Northern China with double cropping systems using Fourier analysis of time-series
MODIS data. International Journal of Applied Earth Observation and Geoinformation,
10.
Zhang, X., Friedl, M.A., Schaaf, C.B., Strahler, A.H., Hodges, J.C.F., Gao, F., Reed, B.C.,
Huete, A., 2003. Monitoring vegetation phenology using MODIS. Remote Sensing of
Environment 84, 471–475.
Zhu, L., Tateishi, R., 2001. Applilcation of linear mixture model to time series AVHRR
NDVI data. AARS, Singapore.
|