Performance evaluation of various resampling techniques on IRS imagery

Porwal, Shardha; Katiyar, Sunil Kumar

doi:10.1109/ic3.2014.6897222

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…The comparison between the RS products was carried out at the highest spatial resolution of the products utilized which was 0.0022 • × 0.0022 • . As we are resampling from a coarse resolution to a higher resolution, the nearestneighbour method (which was employed to complete the resampling) is sufficient, as the magnitude and spatial characteristics will not be altered or lost (Porwal and Katiyar, 2014;Gurjar and Padmanabhan, 2005). It must also be kept in mind that the initial spatial resolution and the temporal period under comparison are not the same for each product, and this may effect the ranking that we are considering.…”

Section: Discussionmentioning

confidence: 99%

“…They found that GLEAM and PT-JPL appear more realistic when compared with 837 globally distributed catchments, although they also found that all products showed large dissimilarities under water stress and drought conditions (Miralles et al, 2016). Another global evaluation of the estimation of ET by three process-based models, SEBS, the Penman-Monteith algorithm (PM-Mu;Mu et al, 2007;Penman, 1948;Montieth, 1965) and a Priestly-Taylor-based approach (PT-Fi; Priestley and Taylor, 1972;Fisher et al, 2008), was conducted by Vinukollu et al (2011a) using the water balance approach at 26 major basins worldwide along with other methods. A root-mean-square difference (RMSD) of 118 to 194 mm yr −1 and a bias of −132 to 53 mm yr −1 were found between the estimated annual ET and the water balance approximations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Can we trust remote sensing evapotranspiration products over Africa?

Weerasinghe

Bastiaanssen

Mul

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. Evapotranspiration (ET) is one of the most important components in the water cycle. However, there are relatively few direct measurements of ET available (e.g. using flux towers). Nevertheless, various disciplines, ranging from hydrology to agricultural and climate sciences, require information on the spatial and temporal distribution of ET at regional and global scales. Due to the limited data availability, attention has turned toward satellite-based products to fill observational gaps. Various data products, including remote sensing (RS) products, have been developed and provide a large range of ET estimations. Across Africa, only a limited number of flux towers are available; hence, they are insufficient for the systematic evaluation of the available ET products. Thus, in this study, we conduct a methodological evaluation of nine existing RS-derived ET products as well as other available ET products in order to evaluate their reliability at the basin scale. A general water balance (WB) approach is used, where ET is equal to precipitation minus discharge for long-term averages. Firstly, ET products are compared with WB-inferred ET (ETWB) for basins that do not show long-term trends. The ET products and the calculated ETWB are then evaluated against the Budyko equation, which is used as a reference condition. The spatial characteristics of the ET products are finally assessed via the analysis of selected land cover elements across Africa: forests, irrigated areas and water bodies. Additionally, a cluster analysis is conducted to identify similarities between individual ET products. The results show that CMRSET, SSEBop and WaPOR rank highest in terms of the estimation of the long-term average mean ET across basins, with low biases and good spatial variability across Africa. GLEAM consistently ranks lowest in most evaluation criteria, although it has the longest available time period. Each product shows specific advantages and disadvantages. Depending on the study in question, at least one product should be suitable for a particular requirement. The reader should bear in mind that many products suffer from a large bias. Based on the evaluation criteria in this study, the three highest ranked products, CMRSET, SSEBop and WaPOR, would suit many users' needs due to the low biases and good spatial variability across Africa.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can we trust remote sensing evapotranspiration products over Africa?

Weerasinghe

Bastiaanssen

Mul

et al. 2020

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…However a recent study by Rodell et al (2018) The comparison between the RS products were carried out at the highest spatial resolution of the different products which is 0.0022 • × 0.0022 • . As we are resampling from coarse resolution to higher resolution the nearest neighbor method employed for completing the resampling is sufficient as the magnitude and spatial characteristics will not be altered or lost (Porwal and Katiyar, 2014;Gurjar and Padmanabhan, 2005). It must also be kept in mind that the initial spatial resolution and the temporal period under comparison are not the same for each product and this may effect the ranking that we are considering.…”

Section: Discussionmentioning

confidence: 99%

Can we trust remote sensing ET products over Africa?

Weerasinghe

Griensven

Bastiaanssen

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Evapotranspiration (ET) is one of the most important components in the water cycle. However, there are relatively few direct measurements of ET (using flux towers), whereas various disciplines ranging from hydrology to agricultural and climate sciences, require information on the spatial and temporal distribution of ET at regional and global scale. Due to limited data availability, attention has turned toward satellite based products to fill observational gaps. Various remote sensing data products have been developed, providing a large range of ET estimations. Across Africa only a limited number of flux towers are available which are insufficient for systematic evaluation of remotely sensed (RS) derived ET products. Thus we propose a methodology for evaluating RS derived ET data at the basin scale using a general water balance (WB) approach, where ET is equal to precipitation minus discharge for long-term annual averages. Firstly, RS ET products are compared with WB inferred ET for basins without long-term trends present. The RS products are then assessed according to spatial characteristics through analysing two land cover elements across Africa, irrigated areas and water bodies. A cluster analysis is also conducted to identify similarities between individual ET products. Finally, the RS products are evaluated against the Budyko equation. The results show that CMRSET, SSEBop and WaPOR rank highest in terms of estimation of long-term annual average mean ET across basins with low biases. Along with ETMonitor, the same three products rank highest in spatial distribution of ET patterns across Africa. GLEAM and MOD16 consistently rank the lowest in most criteria evaluation. Many of the products analysed in this study can be trusted depending on the study under question, keeping in mind some of these products have large biases in magnitude estimation. However our recommendation would be the three highest ranked products being CMRSET, SSEBop and WaPOR.

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“…The cubic convolution algorithm was applied to reduce artifacts while the data varied continuously across spatial space, such as elevation (Kidner, 2003;Her et al 2015). However, the nearest neighbor algorithm was performed while the data exhibited a clear border (e.g., land use; discrete, categorical data), owing to its robustness in resampling the highresolution raster dataset (Porwal & Katiyar, 2014). (Gorelick et al 2016) Fieldwork: Soil Sampling , Land Observation, and Secondary Data Collection A fieldwork study was conducted in December 2020 to collect soil samples and assess field data regarding the information obtained through the spatial data.…”

Section: Remote Sensing and Gis Databasementioning

confidence: 99%

Soil fertility status and land suitability evaluation for rice crops on former shrimp ponds

Paldi

Zulfajrin

Sataral

et al. 2021

CELEBES Agricultural

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Undertaking suitable land, including former shrimp ponds for rice, is required to cope with future rice shortages. The purpose of this study was to identify the soil morphology and physicochemical properties, determine soil fertility status and assess irrigated rice suitability of ex-shrimp ponds. Soil morpho-physicochemical properties such as soil color, structure, texture, pH, organic-C, P2O5, K2O, base saturation, and cation exchange capacity were determined. The resulting data was then matched into the criteria for BSCR and SLAN/CCDS, five major soil fertility criteria, and ICALRRD land suitability. Soil physiographical, morphological, and physicochemical analysis suggested that the soil developed from the alluvial site of calcareous-marl parent material located at saturated backswamp, then permanently drained. ESP, SAR, and salinity values were detected relatively lower than saline, sodic, and saline-sodic soil. The entire cations fell below BCSR ideal ratios, whereas all exchangeable K were detected below the CCDS/SLAN thresholds. Actual suitability for land units of A, B, and C were S3-rc,na, S3-na and S3-rc,nr,na,eh, respectively. The improvement such as fertilization, amelioration, slope flattening/cut-filling, and irrigation management increases all land units to S1. This study pinpointed the importance of former shrimp pond soil to provide suitable land for rice crop cultivation. Also, encouraging further research to identify the origin of alluvial parent material from the soil at the study site

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Performance evaluation of various resampling techniques on IRS imagery

Cited by 13 publications

References 10 publications

Can we trust remote sensing evapotranspiration products over Africa?

Can we trust remote sensing evapotranspiration products over Africa?

Can we trust remote sensing ET products over Africa?

Soil fertility status and land suitability evaluation for rice crops on former shrimp ponds

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