Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model
Nutchanart Sriwongsitanon
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Hongkai Gao
Water Resources Section, Delft University of Technology, Delft, the Netherlands
Hubert H. G. Savenije
CORRESPONDING AUTHOR
Water Resources Section, Delft University of Technology, Delft, the Netherlands
Ekkarin Maekan
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Sirikanya Saengsawang
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Sansarith Thianpopirug
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
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- A comparative evaluation of arid inflow-dependent vegetation maps derived from LANDSAT top-of-atmosphere and surface reflectances I. Emelyanova et al. 10.1080/01431161.2018.1463114
- Comparison of Long-Term Changes in Non-Linear Aggregated Drought Index Calibrated by MERRA–2 and NDII Soil Moisture Proxies F. Mathivha & N. Mbatha 10.3390/w14010026
- Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI) N. Wilson & L. Norman 10.1080/01431161.2018.1437297
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- Wildfire Risk Assessment Based on Geospatial Open Data: Application on Chios, Greece N. Adaktylou et al. 10.3390/ijgi9090516
- Spatial oak decline models to inform conservation planning in the Central-Western Iberian Peninsula R. Hernández-Lambraño et al. 10.1016/j.foreco.2019.03.028
- Actual Evapotranspiration Estimates in Arid Cold Regions Using Machine Learning Algorithms with In Situ and Remote Sensing Data J. Mosre & F. Suárez 10.3390/w13060870
- Durum wheat ears perform better than the flag leaves under water stress: Gene expression and physiological evidence R. Vicente et al. 10.1016/j.envexpbot.2018.06.004
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- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Time Series Analysis of MODIS-Derived NDVI for the Hluhluwe-Imfolozi Park, South Africa: Impact of Recent Intense Drought N. Mbatha & S. Xulu 10.3390/cli6040095
- Variations in Canopy Cover and Its Relationship with Canopy Water and Temperature in the Miombo Woodland Based on Satellite Data H. Zimba et al. 10.3390/hydrology7030058
- Improvement of Remote Sensing-Based Assessment of Defoliation of Pinus spp. Caused by Thaumetopoea Pityocampa Denis and Schiffermüller and Related Environmental Drivers in Southeastern Spain . Pérez-Romero et al. 10.3390/rs11141736
- ASSESSMENT OF DESERTIFICATION AREAS IN UKRAINE BY ESTIMATION OF WATER INDEXES USING REMOTE SENSING DATA O. Apostolov et al. 10.15407/ugz2020.01.016
- Surface moisture area during rainfall-run-off events to understand the hydrological dynamics of a basin in a plain region M. Ares et al. 10.1002/hyp.11492
- Recent Drought-Induced Vitality Decline of Black Pine (Pinus nigra Arn.) in South-West Hungary—Is This Drought-Resistant Species under Threat by Climate Change? N. Móricz et al. 10.3390/f9070414
- Time Series Analysis of MODIS-Derived NDVI for the Hluhluwe-Imfolozi Park, South Africa: Impact of Recent Intense Drought N. Mbatha & S. Xulu 10.3390/cli6040095
- Facing the peat CO2 threat: digital mapping of Indonesian peatlands—a proposed methodology and its application G. Illés et al. 10.1007/s11368-019-02328-0
18 citations as recorded by crossref.
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Effect of traditional check dams (jessour) on soil and olive trees water status in Tunisia G. Castelli et al. 10.1016/j.scitotenv.2019.06.514
- Drought adaptability of phreatophytes: insight from vertical root distribution in drylands of China T. Wang et al. 10.1093/jpe/rtab059
- A comparative evaluation of arid inflow-dependent vegetation maps derived from LANDSAT top-of-atmosphere and surface reflectances I. Emelyanova et al. 10.1080/01431161.2018.1463114
- Comparison of Long-Term Changes in Non-Linear Aggregated Drought Index Calibrated by MERRA–2 and NDII Soil Moisture Proxies F. Mathivha & N. Mbatha 10.3390/w14010026
- Analysis of vegetation recovery surrounding a restored wetland using the normalized difference infrared index (NDII) and normalized difference vegetation index (NDVI) N. Wilson & L. Norman 10.1080/01431161.2018.1437297
- Extensive vegetation browning and drying in forests of India’s Tiger Reserves P. Koulgi et al. 10.1038/s41598-019-51118-8
- Spatial prediction of soil organic carbon using machine learning techniques in western Iran H. Mahmoudzadeh et al. 10.1016/j.geodrs.2020.e00260
- Recent Drought-Induced Vitality Decline of Black Pine (Pinus nigra Arn.) in South-West Hungary—Is This Drought-Resistant Species under Threat by Climate Change? N. Móricz et al. 10.3390/f9070414
- Mesoclimate regulation induced by landscape restoration and water harvesting in agroecosystems of the horn of Africa G. Castelli et al. 10.1016/j.agee.2019.02.002
- Wildfire Risk Assessment Based on Geospatial Open Data: Application on Chios, Greece N. Adaktylou et al. 10.3390/ijgi9090516
- Spatial oak decline models to inform conservation planning in the Central-Western Iberian Peninsula R. Hernández-Lambraño et al. 10.1016/j.foreco.2019.03.028
- Actual Evapotranspiration Estimates in Arid Cold Regions Using Machine Learning Algorithms with In Situ and Remote Sensing Data J. Mosre & F. Suárez 10.3390/w13060870
- Durum wheat ears perform better than the flag leaves under water stress: Gene expression and physiological evidence R. Vicente et al. 10.1016/j.envexpbot.2018.06.004
- Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. 10.1007/s10980-018-0690-4
- Ecohydrologic separation alters interpreted hydrologic stores and fluxes in a headwater mountain catchment M. Cain et al. 10.1002/hyp.13518
- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- Time Series Analysis of MODIS-Derived NDVI for the Hluhluwe-Imfolozi Park, South Africa: Impact of Recent Intense Drought N. Mbatha & S. Xulu 10.3390/cli6040095
7 citations as recorded by crossref.
- Variations in Canopy Cover and Its Relationship with Canopy Water and Temperature in the Miombo Woodland Based on Satellite Data H. Zimba et al. 10.3390/hydrology7030058
- Improvement of Remote Sensing-Based Assessment of Defoliation of Pinus spp. Caused by Thaumetopoea Pityocampa Denis and Schiffermüller and Related Environmental Drivers in Southeastern Spain . Pérez-Romero et al. 10.3390/rs11141736
- ASSESSMENT OF DESERTIFICATION AREAS IN UKRAINE BY ESTIMATION OF WATER INDEXES USING REMOTE SENSING DATA O. Apostolov et al. 10.15407/ugz2020.01.016
- Surface moisture area during rainfall-run-off events to understand the hydrological dynamics of a basin in a plain region M. Ares et al. 10.1002/hyp.11492
- Recent Drought-Induced Vitality Decline of Black Pine (Pinus nigra Arn.) in South-West Hungary—Is This Drought-Resistant Species under Threat by Climate Change? N. Móricz et al. 10.3390/f9070414
- Time Series Analysis of MODIS-Derived NDVI for the Hluhluwe-Imfolozi Park, South Africa: Impact of Recent Intense Drought N. Mbatha & S. Xulu 10.3390/cli6040095
- Facing the peat CO2 threat: digital mapping of Indonesian peatlands—a proposed methodology and its application G. Illés et al. 10.1007/s11368-019-02328-0
Saved (preprint)
Latest update: 03 Jun 2023
Short summary
We demonstrated that the readily available NDII remote sensing product is a very useful proxy for moisture storage in the root zone of vegetation. We compared the temporal variation of the NDII with the root zone storage in a hydrological model of eight catchments in the Upper Ping River in Thailand, yielding very good results. Having a reliable NDII product that can help us to estimate the actual moisture storage in catchments is a major contribution to prediction in ungauged basins.
We demonstrated that the readily available NDII remote sensing product is a very useful proxy...