A procedure for obtaining green plant cover: Relation to NDVI in a case study for barley

Calera, Alfonso; Martínez, Carlos López; Meliá, J.

doi:10.1080/01431160010020100

Cited by 77 publications

(55 citation statements)

References 4 publications

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“…A trendline limited to the four crops addressed here was not significantly different from the pooled relationship, thus Equation (1) (5) broccoli (11) garlic (1) lettuce (17) other veg (16) other annual (14) vineyard (5) orchard (5) Figure 5. Comparison of Equation (1) with published relationships for multiple horticultural crops [23], wheat [21,22], barley [19], and grape [20]. Each line covers approximate data range of respective study.…”

Section: Relationship Between Ndvi and Fcmentioning

confidence: 99%

“…Additional studies have shown that various spectral vegetation indices, calculated from visible and near-infrared (NIR) reflectance data, are linearly related to canopy light interception [16][17][18][19][20][21][22]. Additional research in SJV shows a strong relationship between Landsat normalized difference vegetation index (NDVI) and Fc for multiple horticultural crops [23].…”

Section: Introductionmentioning

confidence: 99%

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Satellite NDVI Assisted Monitoring of Vegetable Crop Evapotranspiration in California’s San Joaquin Valley

2012

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Abstract:Reflective bands of Landsat-5 Thematic Mapper satellite imagery were used to facilitate the estimation of basal crop evapotranspiration (ETcb), or potential crop water use, in San Joaquin Valley fields during 2008. A ground-based digital camera measured green fractional cover (Fc) of 49 commercial fields planted to 18 different crop types (row crops, grains, orchard, vineyard) of varying maturity over 11 Landsat overpass dates. Landsat L1T terrain-corrected images were transformed to surface reflectance and converted to normalized difference vegetation index (NDVI). A strong linear relationship between NDVI and Fc was observed (r 2 = 0.96, RMSE = 0.062). The resulting regression equation was used to estimate Fc for crop cycles of broccoli, bellpepper, head lettuce, and garlic on nominal 7-9 day intervals for several study fields. Prior relationships developed by weighing lysimeter were used to transform Fc to fraction of reference evapotranspiration, also known as basal crop coefficient (Kcb). Measurements of grass reference evapotranspiration from the California Irrigation Management Information System were then used to calculate ETcb for each overpass date. Temporal profiles of Fc, Kcb, and ETcb were thus developed for the study fields, along with estimates of seasonal water use. Daily ETcb retrieval uncertainty resulting from error in satellite-based Fc estimation was <0.5 mm/d, with seasonal uncertainty of 6-10%. Results were compared with FAO-56 irrigation guidelines and prior lysimeter observations for reference. OPEN ACCESSRemote Sens. 2012, 4 440

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Section: Relationship Between Ndvi and Fcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Satellite NDVI Assisted Monitoring of Vegetable Crop Evapotranspiration in California’s San Joaquin Valley

2012

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“…NDVI is related linearly with green fractional cover [7,8]; 2. NDVI is related linearly with the fraction of absorbed photosynthetically active radiation (fAPAR) [9]; 3.…”

Section: Crop Coefficient From Ndvi and Canopy Biophysics Parametersmentioning

confidence: 99%

Remote Sensing Based Crop Coefficients for Water Management in Agriculture

Rocha¹,

Perdigão²,

Melo³

et al. 2012

Sustainable Development - Authoritative and Leading Edge Content for Environmental Management

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“…Considering that the soil evaporation coefficient can also be directly related to the NDVI through the fractional vegetation cover f c (Calera et al, 2001), the following relationship for K c -NDVI can be found:…”

Section: Vegetation Index Approachmentioning

confidence: 99%

Current Status and Perspectives for the Estimation of Crop Water Requirements from Earth Observation

D’Urso¹

2010

Ital J Agronomy

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This paper presents an overview of current techniques and recent developments in the application of Earth Observation data for assessing crop water requirements. During recent years there has been much progress in understanding land surface-atmosphere processes and their parameterisation in the management of land and water resources. This knowledge can be combined with the potentiality of Earth Observation techniques from space, which are able to provide detailed information for monitoring agricultural systems. As today, two main developments in the field of Earth Observation data acquisition and analysis have occurred: a) availability of new generations of sensors, with enhanced spectral and spatial resolution; b) detailed knowledge of the processes that determine the response of land surface as detected from remote sensors in different regions of the electromagnetic spectrum. These advancements have made possible a "quantitative" approach in the interpretation of Earth Observation data, ready for being transferred to operative applications i.e. for irrigation scheduling and water management. This paper presents a review of current applications of optical data in the visible and near infrared spectral regions, with particular emphasis to the experiences developed by the author within AQUATER and other research projects project.

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A procedure for obtaining green plant cover: Relation to NDVI in a case study for barley

Cited by 77 publications

References 4 publications

Satellite NDVI Assisted Monitoring of Vegetable Crop Evapotranspiration in California’s San Joaquin Valley

Satellite NDVI Assisted Monitoring of Vegetable Crop Evapotranspiration in California’s San Joaquin Valley

Remote Sensing Based Crop Coefficients for Water Management in Agriculture

Current Status and Perspectives for the Estimation of Crop Water Requirements from Earth Observation

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