An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing
Abstract
This paper describes the design and evaluation of an airborne multispectral imaging system based on two identical consumer-grade cameras for agricultural remote sensing. The cameras are equipped with a full-frame complementary metal oxide semiconductor (CMOS) sensor with 5616 × 3744 pixels. One camera captures normal color images, while the other is modified to obtain near-infrared (NIR) images. The color camera is also equipped with a GPS receiver to allow geotagged images. A remote control is used to trigger both cameras simultaneously. Images are stored in 14-bit RAW and 8-bit JPEG files in CompactFlash cards. The second-order transformation was used to align the color and NIR images to achieve subpixel alignment in four-band images. The imaging system was tested under various flight and land cover conditions and optimal camera settings were determined for airborne image acquisition. Images were captured at altitudes of 305–3050 m (1000–10,000 ft) and pixel sizes of 0.1–1.0 m were achieved. Four practical application examples are presented to illustrate how the imaging system was used to estimate cotton canopy cover, detect cotton root rot, and map henbit and giant reed infestations. Preliminary analysis of example images has shown that this system has potential for crop condition assessment, pest detection, and other agricultural applications.
Keywords
airborne multispectral imaging system,consumer-grade camera,crop condition assessment,geotagged image,image alignment,pest detection
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Testing the SMOS-derived vegetation optical thickness over rainfed cereals
Author: Sanchez, N. and Scaini, A. and Martinez-Fernandez, J. -
Application of hyperspectral vegetation indices to detect variations in high leaf area index temperate shrub thicket canopies
Author: Brantley, Steven T. and Zinnert, Julie C. and Young, Donald R. -
Automatic Registration of Airborne and Spaceborne Images by Topology Map Matching with SURF Processor Algorithm
Author: Brook, Anna and Ben-Dor, Eyal -
Changes in soil nutrients, vegetation structure and herbaceous biomass in response to grazing in a semi-arid savanna of Ethiopia
Author: Tessema, Z.K. and de Boer, W.F. and Baars, R.M.T. and Prins, H.H.T. -
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops
Author: Viña, Andrés and Gitelson, Anatoly A. and Nguy-Robertson, Anthony L. and Peng, Yi -
Crop specific green area index retrieval from MODIS data at regional scale by controlling pixel-target adequacy
Author: Duveiller, Grégory and Baret, Frédéric and Defourny, Pierre -
Desertification in the Sahel: Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images
Author: Hein, L. and de Ridder, N. and Hiernaux, P. and Leemans, R. and de Wit, A. and Schaepman, M. -
Downscaling Pesticide Use Data to the Crop Field Level in California Using Landsat Satellite Imagery: Paraquat Case Study
Author: Maxwell, Susan K. -
Improved method for discriminating agricultural crops using geostatistics and remote sensing
Author: Fiorentino, Costanza and Tarantino, Cristina and Pasquariello, Guido and Basso, Bruno -
Mapping double-cropped irrigated rice fields in Taiwan using time-series Satellite Pour I'Observation de la Terre data
Author: Chen, Chi-Farn and Huang, Su-Wei and Son, Nguyen-Thanh and Chang, Li-Yu -
Mapping potato crop height and leaf area index through vegetation indices using remote sensing in Cyprus
Author: Papadavid, George and Hadjimitsis, Diofantos and Toulios, Leonidas and Michaelides, Silas -
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments
Author: Laliberte, Andrea S. and Goforth, Mark A. and Steele, Caitriana M. and Rango, Albert -
Real-time retrieval of Leaf Area Index from MODIS time series data
Author: Xiao, Zhiqiang and Liang, Shunlin and Wang, Jindi and Jiang, Bo and Li, Xijia -
Shifting farming–pastoral ecotone in China under climate and land use changes
Author: Liu, Jun-hui and Gao, Ji-xi and Lu, Shi-Hai and Han, Yong-wei and Nie, Yi-huang -
Using active learning to adapt remote sensing image classifiers
Author: Tuia, D. and Pasolli, E. and Emery, W.J. -
Virtual Interpretation of Earth Web-Interface Tool (VIEW-IT) for Collecting Land-Use/Land-Cover Reference Data
Author: Clark, Matthew L. and Aide, T. Mitchell -
Current Status and Future Directions of Precision Aerial Application for Site-Specific Crop Management in the USA
Author: Lan, Yubin and Thomson, Steven J. and Huang, Yanbo and Hoffmann, W. Clint and Zhang, Huihui -
Monitoring Maize (Zea mays L.) Phenology with Remote Sensing
Author: Viña, Andrés and Gitelson, Anatoly A. and Rundquist, Donald C. and Keydan, Galina and Leavitt, Bryan and Schepers, James - Automated image processing workflow
- Crop identification
- Platforms and orbits
- Vegetation indices