| 1 | Uncertainty in the evaluation of photosynthetic canopy traits using the green leaf area index | 5.4 | 18 | Citations (PDF) |
| 2 | Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region | 11.4 | 50 | Citations (PDF) |
| 3 | An insight into spectral composition of light available for photosynthesis via remotely assessed absorption coefficient at leaf and canopy levels | 3.4 | 19 | Citations (PDF) |
| 4 | Revisiting the use of red and near-infrared reflectances in vegetation studies and numerical climate models | 3.9 | 34 | Citations (PDF) |
| 5 | Foliar absorption coefficient derived from reflectance spectra: A gauge of the efficiency of in situ light-capture by different pigment groups | 3.9 | 42 | Citations (PDF) |
| 6 | Towards a generic approach to remote non-invasive estimation of foliar carotenoid-to-chlorophyll ratio | 3.9 | 34 | Citations (PDF) |
| 7 | Ecophysiological adjustments of a pine forest to enhance early spring activity in hot and dry climate | 5.0 | 11 | Citations (PDF) |
| 8 | Derivation of canopy light absorption coefficient from reflectance spectra | 11.4 | 53 | Citations (PDF) |
| 9 | Gross Primary Production Estimation in Crops Using Solely Remotely Sensed Data | 1.8 | 11 | Citations (PDF) |
| 10 | OLCI-based NIR-red models for estimating chlorophyll-
<i>a</i>
concentration in productive coastal waters—a preliminary evaluation | 2.8 | 28 | Citations (PDF) |
| 11 | Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean | 1.6 | 51 | Citations (PDF) |
| 12 | Optical types of inland and coastal waters | 3.8 | 262 | Citations (PDF) |
| 13 | Non-invasive quantification of foliar pigments: Possibilities and limitations of reflectance- and absorbance-based approaches | 3.6 | 67 | Citations (PDF) |
| 14 | Convergence of daily light use efficiency in irrigated and rainfed C3 and C4 crops | 11.4 | 32 | Citations (PDF) |
| 15 | Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges | 6.0 | 130 | Citations (PDF) |
| 16 | Noninvasive Quantification of Foliar Pigments 2018, , 135-162 | | 0 | Citations (PDF) |
| 17 | Multiple drivers of seasonal change in PRI: Implications for photosynthesis 2. Stand level | 11.4 | 98 | Citations (PDF) |
| 18 | Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level | 11.4 | 101 | Citations (PDF) |
| 19 | In situ optical properties of foliar flavonoids: Implication for non-destructive estimation of flavonoid content | 3.9 | 36 | Citations (PDF) |
| 20 | Generic Algorithms for Estimating Foliar Pigment Content | 4.2 | 67 | Citations (PDF) |
| 21 | Remote Sensing of Inland Waters 2017, , 1-24 | | 97 | Citations (PDF) |
| 22 | Toward Generic Models for Green LAI Estimation in Maize and Soybean: Satellite Observations | 3.9 | 33 | Citations (PDF) |
| 23 | Assessment of Canopy Chlorophyll Content Retrieval in Maize and Soybean: Implications of Hysteresis on the Development of Generic Algorithms | 3.9 | 110 | Citations (PDF) |
| 24 | Efficiency of chlorophyll in gross primary productivity: A proof of concept and application in crops | 3.9 | 38 | Citations (PDF) |
| 25 | Spectral band selection for vegetation properties retrieval using Gaussian processes regression | 4.1 | 152 | Citations (PDF) |
| 26 | Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation | 6.4 | 130 | Citations (PDF) |
| 27 | Informative spectral bands for remote green LAI estimation in C3 and C4 crops | 5.4 | 72 | Citations (PDF) |
| 28 | Long-term monitoring of biophysical characteristics of tidal wetlands in the northern Gulf of Mexico — A methodological approach using MODIS | 11.4 | 101 | Citations (PDF) |
| 29 | Using a Simple Leaf Color Chart to Estimate Leaf and Canopy Chlorophyll<i>a</i>Content in Maize (<i>Zea mays</i>) | 1.7 | 24 | Citations (PDF) |
| 30 | Non-destructive estimation of foliar chlorophyll and carotenoid contents: Focus on informative spectral bands | 4.1 | 109 | Citations (PDF) |
| 31 | Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices | 3.9 | 39 | Citations (PDF) |
| 32 | Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: Implications for remote sensing of crop primary production | 3.9 | 95 | Citations (PDF) |
| 33 | Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) | 11.4 | 134 | Citations (PDF) |
| 34 | Algorithms for estimating green leaf area index in C3 and C4 crops for MODIS, Landsat TM/ETM+, MERIS, Sentinel MSI/OLCI, and Venµs sensors | 1.6 | 39 | Citations (PDF) |
| 35 | Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems | 4.1 | 56 | Citations (PDF) |
| 36 | The need for a common basis for defining light-use efficiency: Implications for productivity estimation | 11.4 | 149 | Citations (PDF) |
| 37 | Elements of an Integrated Phenotyping System for Monitoring Crop Status at Canopy Level | 3.2 | 29 | Citations (PDF) |
| 38 | Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models | 11.1 | 312 | Citations (PDF) |
| 39 | Remote estimation of grassland gross primary production during extreme meteorological seasons | 4.1 | 26 | Citations (PDF) |
| 40 | Near real-time prediction of U.S. corn yields based on time-series MODIS data | 11.4 | 128 | Citations (PDF) |
| 41 | Relationships between gross primary production, green LAI, and canopy chlorophyll content in maize: Implications for remote sensing of primary production | 11.4 | 211 | Citations (PDF) |
| 42 | Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data | 11.4 | 117 | Citations (PDF) |
| 43 | Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm | 5.4 | 150 | Citations (PDF) |
| 44 | HICO-Based NIR–Red Models for Estimating Chlorophyll- $a$ Concentration in Productive Coastal Waters | 3.8 | 32 | Citations (PDF) |
| 45 | Remote estimation of crop fractional vegetation cover: the use of noise equivalent as an indicator of performance of vegetation indices | 2.7 | 71 | Citations (PDF) |
| 46 | MODIS-based corn grain yield estimation model incorporating crop phenology information | 11.4 | 229 | Citations (PDF) |
| 47 | Remote estimation of gross primary productivity in crops using MODIS 250m data | 11.4 | 92 | Citations (PDF) |
| 48 | Continuous Monitoring of Crop Reflectance, Vegetation Fraction, and Identification of Developmental Stages Using a Four Band Radiometer | 1.8 | 25 | Citations (PDF) |
| 49 | Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content | 11.4 | 148 | Citations (PDF) |
| 50 | Review of constituent retrieval in optically deep and complex waters from satellite imagery | 11.4 | 447 | Citations (PDF) |
| 51 | Operational MERIS-based NIR-red algorithms for estimating chlorophyll-a concentrations in coastal waters — The Azov Sea case study | 11.4 | 133 | Citations (PDF) |
| 52 | Remote estimation of crop gross primary production with Landsat data | 11.4 | 163 | Citations (PDF) |
| 53 | Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data | 12.4 | 154 | Citations (PDF) |
| 54 | An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index | 5.4 | 100 | Citations (PDF) |
| 55 | An alternative method using digital cameras for continuous monitoring of crop status | 5.4 | 145 | Citations (PDF) |
| 56 | How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy | 11.4 | 65 | Citations (PDF) |
| 57 | Green Leaf Area Index Estimation in Maize and Soybean: Combining Vegetation Indices to Achieve Maximal Sensitivity | 1.8 | 250 | Citations (PDF) |
| 58 | Detecting Spatiotemporal Changes of Corn Developmental Stages in the U.S. Corn Belt Using MODIS WDRVI Data | 7.0 | 54 | Citations (PDF) |
| 59 | Application of chlorophyll-related vegetation indices for remote estimation of maize productivity | 5.4 | 130 | Citations (PDF) |
| 60 | NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters: Lake Kinneret case study | 12.4 | 126 | Citations (PDF) |
| 61 | Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data | 11.4 | 49 | Citations (PDF) |
| 62 | Comparison of different vegetation indices for the remote assessment of green leaf area index of crops | 11.4 | 637 | Citations (PDF) |
| 63 | Remote estimation of chl-a concentration in turbid productive waters — Return to a simple two-band NIR-red model? | 11.4 | 272 | Citations (PDF) |
| 64 | Tracking plant physiological properties from multi-angular tower-based remote sensing | 1.7 | 72 | Citations (PDF) |
| 65 | Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content | 11.4 | 185 | Citations (PDF) |
| 66 | Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling | 11.4 | 316 | Citations (PDF) |
| 67 | Application of day and night digital photographs for estimating maize biophysical characteristics | 5.8 | 33 | Citations (PDF) |
| 68 | A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data | 11.4 | 307 | Citations (PDF) |
| 69 | Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands | 3.3 | 356 | Citations (PDF) |
| 70 | Proximal Sensing of Coral Features: Spectral Characterization of Siderastrea siderea | 6.4 | 7 | Citations (PDF) |
| 71 | Nondestructive estimation of anthocyanins and chlorophylls in anthocyanic leaves | 2.2 | 209 | Citations (PDF) |
| 72 | Satellite Estimation of Chlorophyll-$a$ Concentration Using the Red and NIR Bands of MERIS—The Azov Sea Case Study | 3.8 | 238 | Citations (PDF) |
| 73 | Corrections to “Satellite Estimation of Chlorophyll-<emphasis emphasistype="italic">a</emphasis> Concentration Using the Red and NIR Bands of MERIS—The Azov Sea Case Study” | 3.8 | 1 | Citations (PDF) |
| 74 | Non-destructive determination of maize leaf and canopy chlorophyll content | 3.9 | 145 | Citations (PDF) |
| 75 | Non‐destructive detection of water stress and estimation of relative water content in maize | 4.2 | 112 | Citations (PDF) |
| 76 | PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments | 11.4 | 930 | Citations (PDF) |
| 77 | A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation | 11.4 | 572 | Citations (PDF) |
| 78 | Active Sensor Reflectance Measurements of Corn Nitrogen Status and Yield Potential | 1.8 | 179 | Citations (PDF) |
| 79 | A Comparison of Two Techniques for Nondestructive Measurement of Chlorophyll Content in Grapevine Leaves | 1.8 | 120 | Citations (PDF) |
| 80 | Vertical Profile and Temporal Variation of Chlorophyll in Maize Canopy: Quantitative “Crop Vigor” Indicator by Means of Reflectance‐Based Techniques | 1.8 | 114 | Citations (PDF) |
| 81 | An evaluation of MODIS 250‐m data for green LAI estimation in crops | 4.2 | 67 | Citations (PDF) |
| 82 | Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study | 11.4 | 377 | Citations (PDF) |
| 83 | Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity | 3.3 | 352 | Citations (PDF) |
| 84 | Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves | 4.2 | 693 | Citations (PDF) |
| 85 | Remote estimation of chlorophyll concentration in hyper-eutrophic aquatic systems: Model tuning and accuracy optimization | 3.9 | 140 | Citations (PDF) |
| 86 | Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands | 11.4 | 282 | Citations (PDF) |
| 87 | Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results | 2.1 | 327 | Citations (PDF) |
| 88 | Apple flavonols during fruit adaptation to solar radiation: spectral features and technique for non-destructive assessment | 3.9 | 94 | Citations (PDF) |
| 89 | Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems | 5.4 | 472 | Citations (PDF) |
| 90 | Remote estimation of canopy chlorophyll content in crops | 4.2 | 1,305 | Citations (PDF) |
| 91 | New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops | 4.2 | 212 | Citations (PDF) |
| 92 | Collecting spectral data over cropland vegetation using machine-positioning versus hand-positioning of the sensor | 8.7 | 58 | Citations (PDF) |
| 93 | Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation index | 4.2 | 62 | Citations (PDF) |
| 94 | Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation | 3.9 | 1,044 | Citations (PDF) |
| 95 | Monitoring Maize (<i>Zea mays</i> L.) Phenology with Remote Sensing | 1.8 | 195 | Citations (PDF) |
| 96 | Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit | 6.7 | 377 | Citations (PDF) |
| 97 | Remote estimation of leaf area index and green leaf biomass in maize canopies | 4.2 | 693 | Citations (PDF) |
| 98 | Novel technique for remote estimation of CO2flux in maize | 4.2 | 75 | Citations (PDF) |
| 99 | Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters | 4.2 | 177 | Citations (PDF) |
| 100 | Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves | 3.9 | 2,218 | Citations (PDF) |
| 101 | AVHRR-Based Spectral Vegetation Index for Quantitative Assessment of Vegetation State and Productivity | 1.0 | 143 | Citations (PDF) |
| 102 | Novel algorithms for remote estimation of vegetation fraction | 11.4 | 1,821 | Citations (PDF) |
| 103 | Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶ | 2.9 | 847 | Citations (PDF) |
| 104 | Optical properties ofNannochloropsis sp and their application to remote estimation of cell mass | 4.1 | 36 | Citations (PDF) |
| 105 | The Chlorophyll Fluorescence Ratio F735/F700 as an Accurate Measure of the Chlorophyll Content in Plants | 11.4 | 316 | Citations (PDF) |
| 106 | Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening | 3.7 | 1,103 | Citations (PDF) |
| 107 | Title is missing! | 2.7 | 67 | Citations (PDF) |
| 108 | MODIS NDVI Optimization To Fit the AVHRR Data Series—Spectral Considerations | 11.4 | 111 | Citations (PDF) |
| 109 | Light-induced pigment degradation in leaves and ripening fruits studied in situ with reflectance spectroscopy | 3.7 | 38 | Citations (PDF) |
| 110 | ESTIMATION OF CHLOROPHYLL a FROM TIME SERIES MEASUREMENTS OF HIGH SPECTRAL RESOLUTION REFLECTANCE IN AN EUTROPHIC LAKE | 3.2 | 128 | Citations (PDF) |
| 111 | Remote sensing of chlorophyll concentration in higher plant leaves | 2.8 | 518 | Citations (PDF) |
| 112 | Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements | 3.9 | 274 | Citations (PDF) |
| 113 | Quantitative near-surface remote sensing of wastewater quality in oxidation ponds and reservoirs: a case study of the Naan system | 2.0 | 11 | Citations (PDF) |
| 114 | Real-time quality monitoring by remote sensing of contaminated water-bodies: Waste stabilization pond effluent | 12.4 | 19 | Citations (PDF) |
| 115 | Non-Destructive Determination of Chlorophyll Content of Leaves of a Green and an Aurea Mutant of Tobacco by Reflectance Measurements | 3.9 | 321 | Citations (PDF) |
| 116 | Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll | 3.9 | 735 | Citations (PDF) |
| 117 | Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm | 3.9 | 499 | Citations (PDF) |
| 118 | Use of a green channel in remote sensing of global vegetation from EOS-MODIS | 11.4 | 2,635 | Citations (PDF) |
| 119 | OPTICAL PROPERTIES OF DENSE ALGAL CULTURES OUTDOORS AND THEIR APPLICATION TO REMOTE ESTIMATION OF BIOMASS AND PIGMENT CONCENTRATION IN SPIRULINA PLATENSIS (CYANOBACTERIA)1 | 3.2 | 37 | Citations (PDF) |
| 120 | Remote sensing of chlorophyll in Lake Kinneret using highspectral-resolution radiometer and Landsat TM: spectral features of reflectance and algorithm development | 1.7 | 131 | Citations (PDF) |
| 121 | Why and What for the Leaves Are Yellow in Autumn? On the Interpretation of Optical Spectra of Senescing Leaves (Acerplatanoides L.) | 3.9 | 149 | Citations (PDF) |
| 122 | Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves | 3.6 | 772 | Citations (PDF) |
| 123 | Spectral Reflectance Changes Associated with Autumn Senescence of Aesculus hippocastanum L. and Acer platanoides L. Leaves. Spectral Features and Relation to Chlorophyll Estimation | 3.9 | 1,234 | Citations (PDF) |