Remote Sensing Related Tools and their Spectral Indices Applications for Crop Management in Precision Agriculture

References (88)

1. 1 The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features [DOI]
2. 2 Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages [DOI]
3. 3 Remote sensing and image interpretation [DOI]
4. 4 Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance [DOI]
5. 5 Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps [DOI]
6. 6 Technical Change and the Rate of Imitation [DOI]
7. 7 Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density [DOI]
8. 8 Remote estimation of canopy chlorophyll content in crops [DOI]
9. 9 Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening [DOI]
10. 10 Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle [DOI]
11. 11 Precision agriculture—a worldwide overview [DOI]
12. 12 Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme. [DOI]
13. 13 Remote estimation of chlorophyll content in higher plant leaves [DOI]
14. 14 Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves [DOI]
15. 15 Ratios of leaf reflectances in narrow wavebands as indicators of plant stress [DOI]
16. 16 Assessment of photosynthetic radiation‐use efficiency with spectral reflectance [DOI]
17. 17 Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA [DOI]
18. 18 Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation [DOI]
19. 19 Remote sensing applications for precision agriculture: A learning community approach [DOI]
20. 20 Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies [DOI]
21. 21 Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support [DOI]
22. 22 Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review [DOI]
23. 23 Assessment of Evapotranspiration and Soil Moisture Content Across Different Scales of Observation [DOI]
24. 24 Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery [DOI]
25. 25 Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China [DOI]
26. 26 Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence [DOI]
27. 27 Agricultural Drought Analysis Using the NDVI and Land Surface Temperature Data; a Case Study of Raichur District [DOI]
28. 28 Vegetation indices derived from high-resolution airborne videography for precision crop management [DOI]
29. 29 Adoption of site-specific variable rate sprinkler irrigation systems [DOI]
30. 30 Adoption of precision agriculture technologies in India and in some developing countries: Scope, present status and strategies [DOI]
31. 31 Biophysical and yield information for precision farming from near-real-time and historical Landsat TM images [DOI]
32. 32 Use of soil moisture data for refined GreenSeeker sensor based nitrogen recommendations in winter wheat (Triticum aestivum L.) [DOI]
33. 33 Estimation of soil properties and wheat yields on complex eroded hills using geostatistics and thematic mapper images [DOI]
34. 34 Use of Spectral Vegetation Indices to Infer Leaf Area, Evapotranspiration and Yield: I. Rationale [DOI]
35. 35 Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery [DOI]
36. 36 Comparative analysis of red-edge hyperspectral indices [DOI]
37. 37 IKONOS Imagery to Estimate Surface Soil Property Variability in Two Alabama Physiographies [DOI]
38. 38 Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada [DOI]
39. 39 Characterization of water stress and prediction of yield of wheat using spectral indices under varied water and nitrogen management practices [DOI]
40. 40 Sensor Fusion for Precision Agriculture [DOI]
41. 41 LAI retrieval from multiangular image classification and inversion of a ray tracing model [DOI]
42. 42 Derivation of leaf area index for grassland within alpine upland using multi-temporal RapidEye data [DOI]
43. 43 WheatPot: A simple model for spring wheat yield potential using monthly weather data [DOI]
44. 44 Use of MODIS data to monitor the oriental migratory locust plague [DOI]
45. 45 Within-field wheat yield prediction from IKONOS data: a new matrix approach [DOI]
46. 46 Utilization of Resourcesat-1 data for improved crop discrimination [DOI]
47. 47 Analysis of Relationship between Vegetation Indices and Crop Yield using KOMPSAT (KOreaMulti-Purpose SATellite)-2 Imagery and Field Investigation Data [DOI]
48. 48 Satellite meteorology: an introduction [DOI]
49. 49 The use of remote sensing data for drought assessment and monitoring in Southwest Asia.
50. 50 Key Processes and Properties for Site‐Specific Soil and Crop Management [DOI]
51. 51 Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy [DOI]
52. 52 Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects [DOI]
53. 53 An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning [DOI]
54. 54 Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest [DOI]
55. 55 High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture [DOI]
56. 56 Past and Future of Plant Stress Detection: An Overview From Remote Sensing to Positron Emission Tomography [DOI]
57. 57 Root Zone Sensors for Irrigation Management in Intensive Agriculture [DOI]
58. 58 Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2 [DOI]
59. 59 An Update on Plant Photobiology and Implications for Cannabis Production [DOI]
60. 60 Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping [DOI]
61. 61 Soybean Disease Monitoring with Leaf Reflectance [DOI]
62. 62 dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery [DOI]
63. 63 Analyzing Temporal and Spatial Characteristics of Crop Parameters Using Sentinel-1 Backscatter Data [DOI]
64. 64 Remote prediction of yield based on LAI estimation in oilseed rape under different planting methods and nitrogen fertilizer applications [DOI]
65. 65 Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring [DOI]
66. 66 Vegetation indices based segmentation for automatic classification of brown spot and blast diseases of rice [DOI]
67. 67 Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages [DOI]
68. 68 Using high spatial resolution satellite imagery for mapping powdery mildew at a regional scale [DOI]
69. 69 Integrating remote sensing information with crop model to monitor wheat growth and yield based on simulation zone partitioning [DOI]
70. 70 A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice [DOI]
71. 71 Yield estimation and forecasting for winter wheat in Hungary using time series of MODIS data [DOI]
72. 72 A new narrow band vegetation index for characterizing the degree of vegetation stress due to copper: the copper stress vegetation index (CSVI) [DOI]
73. 73 Using Vegetative Indices to Quantify Agricultural Crop Characteristics [DOI]
74. 74 Developing a New Spectral Index for Detecting Cadmium-Induced Stress in Rice on a Regional Scale [DOI]
75. 75 Spectral characteristics of copper-stressed vegetation leaves and further understanding of the copper stress vegetation index [DOI]
76. 76 Modeling Regional Crop Yield and Irrigation Demand Using SMAP Type of Soil Moisture Data [DOI]
77. 77 Soil Water Content and High-Resolution Imagery for Precision Irrigation: Maize Yield [DOI]
78. 78 Improved Water and Economic Sustainability with Low-Input Compact Bed Plasticulture and Precision Irrigation [DOI]
79. 79 Detecting Winter Wheat Irrigation Signals Using SMAP Gridded Soil Moisture Data [DOI]
80. 80 Soil moisture retrieval and AMSR-E validation using an airborne microwave radiometer in SMEX02 [DOI]
81. 81 Downscaling Landsat 7 canopy reflectance employing a multi-soil sensor platform [DOI]
82. 82 Remote Sensing in Precision Agriculture: Monitoring Plant Chlorophyll, and Soil Ammonia, Nitrate, and Phosphate in Corn and Soybean Fields
83. 83 Role of Remote Sensing in Precision Agriculture [DOI]
84. 84 Near-real time winter wheat N uptake from a combination of proximal and remote optical measurements: how to refine Sentinel-2 satellite images for use in a precision agriculture decision support system [DOI]
85. 85 International Journal of Remote Sensing [DOI]
86. 86 Landsat and agriculture—Case studies on the uses and benefits of Landsat imagery in agricultural monitoring and production [DOI]
87. 87 Crop loss identification at field parcel scale using satellite remote sensing and machine learning [DOI]
88. 88 Agriculture field characterization using GIS software and scanned color infrared aerial photographs

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