Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations
Abstract
Vegetation indices are important remotely sensed metrics for ecosystem monitoring and land surface process assessment, among which Normalized Difference Vegetation Index (NDVI) has been most widely used. The newly launched Landsat 8 Operational Land Imager (OLI) sensor, together with its predecessor Landsat 7 Enhanced Thematic Mapper Plus (ETM+), provides continuous earth observations with an 8-day interval. The design improvements of the new sensor, including narrower near-infrared waveband, higher signal-to-noise ratio (SNR), and greater radiometric sensitivity highlight the need for investigating the land surface observation properties, especially its consistency with data from its predecessors and other satellite sensors. This study aims to evaluate the characteristics of Landsat 8 OLI-derived NDVI against Landsat 7 ETM+ by cross-comparison and by comparing with Moderate Resolution Imaging Spectroradiometer (MODIS) and Geostationary Ocean Color Imager (GOCI)-derived NDVIs as well as in-situ NDVI measurements. Simulations of Top of Atmosphere (TOA) reflectance and surface reflectance of broadleaf trees and water were conducted for Landsat 8 OLI, Landsat 7 ETM+, and MODIS in order to evaluate the impact of band pass difference on NDVI calculation. Four consecutive pairs of Landsat 8 OLI and Landsat 7 ETM+ data over China and Korea were examined, and NDVIs derived from TOA reflectance and surface reflectance by three atmospheric correction methods were evaluated. Both simulations and comparisons showed that NDVIs derived from atmospherically-corrected surface reflectance had good consistency, while the simulation showed that the agreement varied with atmospheric characteristics. The four pairs of Landsat 8 OLI and Landsat 7 ETM+ NDVI had a mean bias error within ±0.05, and R2 from 0.84 to 0.98. Vegetated land cover types were found to have better NDVI agreement than non-vegetated land cover types. Especially, Landsat 8 OLI consistently generated lower NDVI values in water area than Landsat 7 ETM+, which resulted from higher aerosol optical thickness in atmosphere. Landsat 8 OLI-derived NDVI showed better agreement with MODIS and GOCI NDVI than Landsat 7 ETM+, mainly on vegetated surfaces. Both Landsat 8 OLI and Landsat 7 ETM+ surface reflectance-derived NDVI agreed well with in-situ light emitting diode (LED) NDVI measurements at a homogeneous deciduous forest site. Landsat 8 OLI was also found to produce higher spatial variability of NDVIs than Landsat 7 ETM+ at vegetated and urban areas, but lower variability on water area. The overall good agreement between Landsat 8 OLI NDVI and Landsat 7 ETM+, MODIS and GOCI NDVIs as well as in-situ measurements ensures that it is reliable to integrate the new sensor observations with those from the multiple satellite sensors, given that the same atmospheric correction methods are applied. Furthermore, the greater NDVI contrast between vegetated areas and water areas, and the higher spatial variability of Landsat 8 OLI NDVI indicated that the new sensor has better capability in land surface process monitoring, such as land cover mapping, spatiotemporal dynamics of vegetation growth, and drought assessment.
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RESEARCH ON ESTIMATION CROP PLANTING AREA BY INTEGRATING THE OPTICAL AND MICROWAVE REMOTE SENSING DATA
Author: Jia, Y. and Yu, F. -
Satellite-based Investigation of Flood-affected Rice Cultivation Areas in Chao Phraya River Delta, Thailand
Author: N.T. Son and C.F. Chen and C.R. Chen and L.Y. Chang -
Scientific documentation of crop land changes in the Sahel: A half empty box of knowledge to support policy?
Author: van Vliet, Nathalie and Reenberg, Anette and Rasmussen, Laura Vang -
Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil
Author: Mello, Marcio Pupin and Aguiar, Daniel Alves and Rudorff, Bernardo Friedrich Theodor and Pebesma, Edzer and Jones, Jim and Santos, Naiara Carolina Pontes -
Spectral Response Function Comparability Among 21 Satellite Sensors for Vegetation Monitoring
Author: Gonsamo, Alemu and Chen, Jing M. -
Validity of soil isoline equation for a system of canopy and soil layers
Author: Taniguchi, Kenta and Obata, Kenta and Matsuoka, Masayuki and Yoshioka, Hiroki -
Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud
Author: Mathews, Adam and Jensen, Jennifer -
A Conceptual Model of Surface Reflectance Estimation for Satellite Remote Sensing Images Using in situ Reference Data
Author: Chen, Hsien-Wei and Cheng, Ke-Sheng -
Agricultural land use mapping in the sudanian savanna of West Africa: Current status and future possibilities
Author: Forkuor, Gerald and Landmann, Tobias and Conrad, Christopher and Dech, Stefan -
An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data
Author: Thenkabail, Prasad S. and Wu, Zhuoting -
Analysis and selection of pan-sharpening assessment measures
Author: Palubinskas, Gintautas and Palubinskas, Gintautas and Reinartz, Peter -
Analysis of vegetation seasonality in Sahelian environments using MODIS LAI, in association with land cover and rainfall
Author: Bobée, C. and Ottlé, C. and Maignan, F. and de Noblet-Ducoudré, N. and Maugis, P. and Lézine, A.-M. and Ndiaye, M. -
Aspects of atmospheric and topographic correction of high spatial resolution imagery
Author: Schlapfer, Daniel and Richter, Rudolf and Kellenberger, Tobias -
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons
Author: Liu, Jiangui and Pattey, Elizabeth and Jégo, Guillaume -
Atmospheric compensation for WorldView-2 satellite and in-water component retrieval
Author: Concha, Javier A. and Gerace, Aaron D. -
ATMOSPHERIC CORRECTION COMPARISON OF SPOT-5 IMAGE BASED ON MODEL FLAASH AND MODEL QUAC
Author: Guo, Y. and ZENG, F. -
Atmospheric effects on vegetation indices of TM and ETM+ images from a tropical region using the 6S model
Author: Homem Antunes, Mauro Antonio and Gleriani, Jose Marinaldo and Debiasi, Paula -
Automatic Detection and Segmentation of Orchards Using Very High Resolution Imagery
Author: Aksoy, Selim and Yalniz, Ismet Zeki and Tasdemir, Kadim -
Comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon
Author: Li, Guiying and Lu, Dengsheng and Moran, Emilio and Sant'Anna, Sidnei João Siqueira -
Crop area estimation in Ukraine using satellite data within the MARS project
Author: Kussul, Nataliia and Skakun, Sergii and Shelestov, Andrii and Kravchenko, Oleksii and Gallego, Javier Francisco and Kussul, Olga -
Estimation of maize planting area using mixed field decomposition of multi-temporal TM images
Author: Gu, Xiaohe and Dong, Yansheng and Ma, Li and Dong, Yingying -
Evaluation and sensitivity testing of a coupled Landsat-MODIS downscaling method for land surface temperature and vegetation indices in semi-arid regions
Author: Kim, Jongyoun and Hogue, Terri S. -
Implications of climate, land-use and land-cover changes for pastoralism in eastern Sudan
Author: Sulieman, H.M. and Elagib, N.A. -
Integration of multi-resolution data for crop LAI estimation based on continuous wavelet
Author: Dong, Yingying and Wang, Jihua and Li, Cunjun and Yang, Guijun and Xu, Xingang and Zhao, Jinling and Huang, Wenjiang -
Integrative use of multitemporal rapideye and TerraSAR-X data for agricultural monitoring
Author: Bach, Heike and Friese, Malin and Spannraft, Katharina and Migdall, Silke and Dotzler, Sandra and Hank, Tobias and Frank, Toni and Mauser, Wolfram -
Inter-Sensor Comparison between THEOS and Landsat 5 TM Data in a Study of Two Crops Related to Biofuel in Thailand
Author: Phongaksorn, Naruemon and Tripathi, Nitin K. and Kumar, Sivanappan and Soni, Peeyush -
Landsat-7 ETM+: 12 Years On-Orbit Reflective-Band Radiometric Performance
Author: Markham, Brian L. and Haque, Md. Obaidul and Barsi, Julia A. and Micijevic, Esad and Helder, Dennis L. and Thome, Kurtis J. and Aaron, David and Czapla-Myers, Jeffrey S. -
MAPPING CROP STATUS FROM AN UNMANNED AERIAL VEHICLE FOR PRECISION AGRICULTURE APPLICATIONS
Author: Guo, T. and Kujirai, T. and Watanabe, T. -
Mapping Cropland Distributions Using a Hard and Soft Classification Model
Author: Pan, Yaozhong and Hu, Tangao and Zhu, Xiufang and Zhang, Jinshui and Wang, Xiaodong -
Mapping leaf area index using spatial, spectral, and temporal information from multiple sensors
Author: Gray, Josh and Song, Conghe -
Mapping paddy rice agriculture in a highly fragmented area using a geographic information system object-based post classification process
Author: Lin, Meng-Lung and Lin, Meng-Lung and Huang, Chao-Hsiung and Chu, Tzu-How -
Monitoring desertification in a Savannah region in Sudan using Landsat images and spectral mixture analysis
Author: Dawelbait, M. and Morari, F. -
Multi-temporal remote sensing image segmentation of croplands constrained by a topographical database
Author: Inglada, Jordi and Dejoux, Jean-Francois and Hagolle, Olivier and Dedieu, Gerard -
Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping
Author: Richter, Katja and Hank, Tobias B. and Vuolo, Francesco and Mauser, Wolfram and D'Urso, Guido -
Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle
Author: Hruska, Ryan and Mitchell, Jessica and Anderson, Matthew and Glenn, Nancy F. -
REMOTE-SENSING-BASED BIOPHYSICAL MODELS FOR ESTIMATING LAI OF IRRIGATED CROPS IN MURRY DARLING BASIN
Author: Wittamperuma, I. and Hafeez, M. and Pakparvar, M. and Louis, J. -
Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing
Author: Kelcey, Joshua and Lucieer, Arko -
SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY
Author: Devadas, R. and Denham, R. J. and Pringle, M. -
TEMPORAL INDICES DATA FOR SPECIFIC CROP DISCRIMINATION USING FUZZY BASED NOISE CLASSIFIER
Author: Musande, V. and Kumar, A. and Kale, K. and Roy, P. S. -
Testing the SMOS-derived vegetation optical thickness over rainfed cereals
Author: Sanchez, N. and Scaini, A. and Martinez-Fernandez, J. -
Absolute Radiometric Calibration of the RapidEye Multispectral Imager Using the Reflectance-based Vicarious Calibration Method
Author: Naughton, Denis and Brunn, Andreas and Czapla-Myers, Jeff and Douglass, Scott and Thiele, Michael and Weichelt, Horst and Oxfort, Michael -
An IHS-Based Fusion for Color Distortion Reduction and Vegetation Enhancement in IKONOS Imagery
Author: Chikr El-Mezouar, Miloud and Taleb, Nasreddine and Kpalma, Kidiyo and Ronsin, Joseph -
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. -
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 -
Continuity of Landsat observations: Short term considerations
Author: Wulder, Michael A. and White, Joanne C. and Masek, Jeffrey G. and Dwyer, John and Roy, David P. -
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. -
Endmember variability in Spectral Mixture Analysis: A review
Author: Somers, Ben and Asner, Gregory P. and Tits, Laurent and Coppin, Pol -
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 -
Panchromatic and Multispectral Image Fusion Based on Maximization of Both Spectral and Spatial Similarities
Author: Golibagh Mahyari, Arash and Yazdi, Mehran -
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 -
Remote-Sensing Based Approach to Improve Regional Estimation of Renewable Water Resources for Sustainable Development
Author: Eugene Yan and Adam Milewski and Ahmed Abdeldayem and Farouk Soliman and Kamil Abdel Gelil -
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 - Atmospheric correction
- Crop identification
- Landsat
- Vegetation indices