Image acquired by the VENµS satellite, 2018, over the Zin Valley, Negev Desert, Israel
2023
Tiwari, A., Silver, M. and Karnieli, A. 2023. A deep learning approach for automatic identification of ancient agricultural water harvesting systems. International Journal of Applied Earth Observation and Geoinformation. 118, 103270. https://doi.org/10.1016/j.jag.2023.103270
2022
Pešek, O., Segal-Rozenhaimer, M. and Karnieli, A. 2022. Using convolutional neural networks for cloud detection on VENµS images over multiple land-cover types. Remote Sensing. 14, 5210. https://doi.org/10.3390/rs14205210
Salvoldi, M., Cohen-Zada, A.L. and Karnieli, A. 2022. Using the VENµS Super-Spectral Camera for detecting moving vehicles. ISPRS Journal of Photogrammetry and Remote Sensing. 192, 33-48. https://doi.org/10.1016/j.isprsjprs.2022.08.005
Arun P.V. and Karnieli, A. 2022. Deep-learning-based latent space encoding for spectral unmixing of geological materials. ISPRS Journal of Photogrammetry and Remote Sensing. 183, 307-320. https://doi.org/10.1016/j.isprsjprs.2021.11.008.
Arun P.V. and Karnieli, A. 2022. Deep feature learning and latent space encoding for crop phenology analysis. Expert Systems With Applications, 187, 115929. DOI: 10.1016/j.eswa.2021.115929
Ignat, T., Shavit, Y., Rachmilevitch, R. and Karnieli, A. 2022. Spectral monitoring of salinity stress in tomato plants. Biosystems Engineering. 217, 26-40. https://doi.org/10.1016/j.biosystemseng.2022.02.018
Arun P.V. and Karnieli, A. 2022. Learning of physically significant features from Earth observation data: An illustration for crop classification and irrigation scheme detection. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07019-5
Arun, P.V., Sahoo, M.M. Porwal, A., Karnieli, A. 2022. Deep-learning-based latent space encoding for spectral unmixing of geological materials. ISPRS Journal of Photogrammetry and Remote Sensing. 183, 307-320. https://doi.org/10.1016/j.isprsjprs.2021.11.008
Levi, N. Karnieli, A. and Paz-Kagan, T. 2022. Airborne imaging spectroscopy for assessing land-use effect on soil quality in drylands. ISPRS Journal of Photogrammetry and Remote Sensing. 186, 34-54. https://doi.org/10.1016/j.isprsjprs.2022.01.018
Salvoldi, M., Tubul, Y., Karnieli, A. and Herrmann, I. 2022. VENµS-derived NDVI and REIP at different view azimuth angles. Remote Sensing. 14, 184. doi.org/10.3390/rs14010184
Arun P.V. and Karnieli, A. 2022. Augmentation of vegetation index curves considering the crop-specific phenological characteristics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, 1235-1243. DOI 10.1109/JSTARS.2022.3142395
Lausch, A., Schaepman, M.E., Skidmore, A.K., Catana, E., Bannehr, L., Bastian, O., Borg, E., Bumberger, J., Dietrich, P.,Glässer, C., Hacker, J.M., Höfer, R., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Klenke, R., Kirsten, T., Ködel, U., Kresse, W., Mallast, U., Montzka, C., Möller, M., Mollenhauer, H., Pause, M., Rahman, M., Schrodt, F., Schmullius, C., Schütze, C., Selsam, P., Syrbe, R-U., Truckenbrodt, S., Vohland, M., Volk, M., Wellmann, T., Zacharias, S. and Baatz, R. (2022) Remote Sensing of Geomorphodiversity linked to Biodiversity: Traits, Processes and Remote Sensing Characteristics. Remote Sensing. 14, 2279. https://doi.org/10.3390/rs14092279
Kang., Y., Gao, F., Anderson, M., Kustas., W., Nieto, H., Knipper., K., Yang, Y., White, W., Alfieri., J., Torres-Rua, A., Alsina., M., and Karnieli., A. (2022) Evaluation of Satellite Leaf Area Index in California Vineyards for Improving Water Use Estimation. Irrigation Science. 2022-06-20. DOI: 10.1007/s00271-022-00798-8
Chen, J., John, J., Yuan, J., Mack, E.A., Groisman, P., Wu, J., Allington, G., K.M. Karnieli, K., Fan, P., Gutman, G., Kappas, M., Ouyang, Z., Şat, B., Xue, Z., Dong, G., Zhao, F., Henebry, G.M., Kussainova, M., Graham, N.A., Amartuvshin, A., Shao, C., Graham, A.K., Qu. L., Park, H., Xin, X., Chen, J., Pearson, A.A., Tian, L., Knight, C., Li, F., Qi, J. 2022. Sustainability challenges for the social-environmental systems across the Asian Drylands Belt. Environmental Research Letters. 17 (023001). doi.org/10.1088/1748-9326/ac472f
2021
Ohana-Levi, L., Gao, F., Knipper, K., Kustas, W.P., Anderson, M.C., Alsina, M., Sanchez, L.A., Karnieli, A. 2021. Time-series clustering of remote sensing retrievals for defining management zones in a vineyard. Irrigation Science. https://doi.org/10.1007/s00271-021-00752-0
Halle, S., Garrido, M., Noy, K., Messika, I., Kedem, H., Cohen, C., Ytzhak, K., Siegal, Z., Shenbrot, G., Abramsky, Z., Ziv, Y., Karnieli, A. and Hawlena, H. (2021) Cascading effects of sand stabilization on pathogen communities: connecting global and local processes. Global Ecology and Biogeography. DOI: 10.1111/geb.13423
Noy, K., Ohana-Levi, N., Panov, N., Silver, M. and Karnieli, A. 2021. A long-term spatiotemporal analysis of biocrusts across a diverse arid environment: the case of the Israeli-Egyptian sandfield. Science of the Total Environment. 774, 145154. https://doi.org/10.1016/j.scitotenv.2021.145154
Levi, N., Hille, N., Zaady, E., Rothem, G, Zuv, Y., Karnieli, A. and Paz-Kagan, T. 2021. Soil quality index for assessing phosphate mining restoration in a hyper-arid environment. Ecological Indicators 125, 107571. https://doi.org/10.1016/j.ecolind.2021.107571
Arun P.V. and Karnieli, A. 2021. Deep learning-based phenological event modeling for classification of crops. Remote Sensing. 13, 2477. https://doi.org/10.3390/rs13132477
Xu, D.,Wang, C., Chen, J., Shen, M., Shen, B., Yan, R., Li, Z., Karnieli, A., Chen, J., Yan, Y., Wang, X., Chen, B., Xin, X. 2021. The superiority of the normalized difference phenology index (NDPI) for estimating grassland aboveground fresh biomass. Remote Sensing of Environment. 264, 112578. DOI: https://doi.org/10.1016/j.rse.2021.112578
Paz-Kagan, T., Chang, J.B., Shoshany, M., Sternberg, M. and Karnieli, A. 2021. Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands. GIScience & Remote Sensing. (accepted).
Silver, M.; Karnieli, A.; Fredj, E. 2021. Improved gridded precipitation data derived from microwave link attenuation. Remote Sensing. 13, 2953. https://doi.org/10.3390/rs13152953
Ignat, T., De Falco, N., Berget-Tal, R., Rachmilevitch, S. and Karnieli, A. 2021. A novel approach for long-term spectral monitoring of desert shrubs affected by an oil spill. Environmental Pollution. 289, 117788 doi: https://doi.org/10.1016/j.envpol.2021.117788
2020
Salvoldi, M., Siaki, G., Sprintsin, M. and Karnieli, K. Burned area mapping using multi-temporal Sentinel-2 Data by applying the Relative Differenced Aerosol-Free Vegetation Index (RdAFRI). Remote Sensing. 12, 2753; doi:10.3390/rs12172753
Shtein, A., Kloog, I., Schwartz, J., Silibello, C., Michelozzi, P., Gariazzo, C., Viegi, G., Forastiere, F., Karnieli, A., Just, A.C. and Stafoggia, M. 2020. Estimating daily PM2.5 and PM10 over Italy using an ensemble model. Environmenta Science and Technology. 54, 120-128. DOI: 10.1021/acs.est.9b04279.
Tiwari, A., Meir, I.A. and Karnieli, A. 2020. Object-Based Image Procedures for Assessing theSolar Energy Photovoltaic Potential of HeterogeneousRooftops Using Airborne LiDAR and Orthophoto. Remote Sensing. 12, 223. doi:10.3390/rs12020223
Tiwari, A., Silver, M. and Karnieli, A. 2020. Developing object-based image procedures for classifying and characterizing different protected agriculture structures using LiDAR and orthophoto. Biosystems Engineering. 198, 91-104. https://doi.org/10.1016/j.biosystemseng.2020.07.017
Levi, N., Karnieli, A. and Paz-Kagan, T. 2020. Using reflectance spectroscopy for detecting land-use effects on soil qualityin drylands. Soil & Tillage Research. 199, 104571. https://doi.org/10.1016/j.still.2020.104571
Gao, F., Anderson, M., Daughtry, C., Karnieli, A., Hively, D. and Kustas, W. 2020. A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery. Remote Sensing of Environment. 242, 111752. https://doi.org/10.1016/j.rse.2020.111752
Chen, J., Ouyang, Z., John, R., Henebry, G. M., Groisman, P., Karnieli, A., Kussainova, M., Amartuvshin, A., Tulobaev, A., Isabaevich, E. T., Crank, C., Kadhim, A., Qi, J. and Gutman. G. 2020. Social-Ecological Systems across the Asian Drylands Belt (ADB). In Gutman et al. (Eds.) Land-Cover and Land-Use Change in Drylands of Eurasia: People, Societies and Ecosystems. 191-225. Springer Nature, Switzerland AG 2000, https://doi.org/10.1007/978-3-030-30742-4_10
Herrmann, I, Bdolach, E., Montekyo, Y., Rachmilevitch, S., Townsend, P.A., Karnieli, A. 2020. Assessment of maize yield and phenology by drone-mounted superspectral camera. Precision Agriculture. 21, 51-76. https ://doi.org/10.1007/s11119-019-
2019
Ignat, T., De Falco, N., Berget-Tal, R., Rachmilevitch, S. and Karnieli, A. 2021. A novel approach for long-term spectral monitoring of desert shrubs affected by an oil spill. Environmental Pollution. 289, 117788 doi: https://doi.org/10.1016/j.envpol.2021.117788
Silver, M., Karnieli, A., Marrac, F., Fredj, E. 2019. An evaluation of weather radar adjustment algorithms using synthetic data. Journal of Hydrology, 576, 408-421. https://doi.org/10.
Lausch, A., Baade J., Bannehr, L., Borg, E., Bumberger, J., Chabrilliat, S., Dietrich, P., Gerighausen, H., Glässer, C., Jorg M. Hacker, J.M., Haase D., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Kraemer, R., Makki, M., Mielke, C., Möller, M., Mollenhauer, H., Montzka, C., Pause, M., Rogass, C., Rozenstein, O., Schmullius, C., Schrodt, F., Schrön, M., Schulz, K., Schütze, C., Schweitzer, C., Selsam, P., Skidmore, A.K., Spengler, D., Thiel, C., Truckenbrodt, S.C., Vohland, M., Wagner, R., Weber, U., Werban, U., Wollschläger, U., Zacharias, S. and Schaepman, S.E. 2019. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics. Remote Sensing. 11, 2356; doi:10.3390/rs11192356
Arun, P.V., Herrmann, I., Budhiraju, K.M. and Karnieli, A. 2019. Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images. Pattern Recognition. 88, 431-446 https://doi.org/10.1016/j.patcog.2018.11.033.
2018
Qi, H., Karnieli, A. and Li, S. 2018. Predicting soil available nitrogen with field spectra corrected by Y-gradient general least square weighting. Spectroscopy and Spectral Analysis. 38, 171-175. (in Chinese, with English abstract).
Pincovici, S., Cochavi, A., Karnieli, A., Ephrath, J., and Rachmilevitch, S. 2018. Source-sink relations of sunflower plants as affected by a parasite modifies carbon allocations and leaf traits. Plant Science. 271,100-107. https://doi.org/10.1016/j.plantsci.2018.03.022.
Pasetto, D., Arenas-Castro, S., Bustamante, J., Casagrandi, R., Chrysoulakis, N., Cord, A.F., Dittrich, A., Domingo-Marimon, C., G. El Serafy, G., Karnieli, A., Kordelas, G.A., Manakos, I., Mari, L, Monteiro, A., E. Palazzi, E., Poursanidis, D., Rinaldo, A., Terzago, S., Ziemba, and Ziv, G. 2018. Integration of satellite remote sensing data in ecosystem modelling at local scales: practices and trends. Methods in Ecology and Evolution. 9,1810–1821. http://dx.doi.org/10.1111/2041-210X.13018.
Shtein, A., Karnieli, A., Katra, I., Raz., R., Levi, I., Lyapustin, A., Dorman, M., Broday, D.M. and Kloog, I. 2018. Estimating daily and intra-daily PM10 and PM2.5 in Israel using a spatio-temporal hybrid modeling approach. Atmospheric Environment. 191, 142-152. doi.org/10.1016/j.atmosenv.2018.08.002.
2017
Matzrafi, M. Herrmann, I., Nansen, N., Kliper, T., Zait, Y., Ignat, T., Siso, D., Rubin, R., Karnieli, A., Eizenberg, H. 2017. Hyperspectral technologies for assessing seed germination and trifloxysulfuron-methyl response in Amaranthus palmeri (Palmer amaranth). Frontiers in Plant Science, section Agroecology and Land Use Systems, 8 (article 474) doi: 10.3389/fpls.2017.00474.
Cochavi, A., Rapaport, R., Gendler, T., Karnieli, A., Eizenberg, H., Rachmilevitch, S., and Ephrath, J.E. 2017. Recognition of Orobanche cumana below-ground parasitism through physiological and hyper spectral measurements in sunflower (Helianthus annuus L.). Frontiers in Plant Science, 8 (article 909) doi: 10.3389/fpls.2017.00909.
Cierniewski, J., Ceglareka, J., Karnieli, A., Królewicz, S., Kazmierowski, C., Zagajewski, B. 2017. Predicting the diurnal blue-sky albedo of soils using their laboratory reflectance spectra and roughness indices. Journal of Quantitative Spectroscopy & Radiative Transfer. 200, 25-31. dx.doi.org/10.1016/j.jqsrt.2017.05.033.
Derimian, Y., Choël, M., Rudich, Y., Deboudt, K., Dubovik, O., Laskin, A., Legrand, A., Damiri, B., Koren, I., Unga, F., Moreau, M., Meinrat O.A. and Karnieli, A. 2017. Effect of sea breeze circulation on aerosol mixing state and radiative properties in a desert setting. Atmospheric Chemistry and Physics. 17, 11331–11353. doi.org/10.5194/acp-17-11331-2017.
Qi, H., Paz-Kagan, T., Karnieli, A., Jin, X. and Li, S. 2017. Evaluating calibration methods for predicting soil available nutrients using hyperspectral VNIR data. Soil and Tillage Research.175, 267-275. https://doi.org/10.1016/j.still.2017.09.006.
Oriani, F., Ohana-Levi, N., Marra, F., Straubhaar, J., Mariethoz, G., Renard, P., Karnieli, A. and Morin, E. 2017. Simulating small-scale rainfall fields conditioned by weather state and elevation: A data-driven approach based on rainfall radar images. Water Resources Research, 53, 1-21. DOI: 10.1002/2017WR020876.
Silver, M., Karnieli, A, Ginat, H. and Fredj, E. 2016. An innovative method for determining hydrological calibration parameters for the WRF-Hydro model in arid regions. Environmental Software and Modeling, 91, 47-69. http://dx.doi.org/10.1016/j.envsoft.2017.01.010.
2016
Pisek, J., Chen, J.M., Kobayashi, H., Rautiainen, M., Schaepman, M.E., Karnieli, A., Sprintsin, M., Ryu, Y., Nikopensius, M. and Raabe, K. 2016. Retrieval of seasonal dynamics of forest understory reflectance from semi-arid to boreal forests using MODIS BRDF data. Journal of Geophysical Research – Biogeosciences. 121, 1-9. doi:10.1002/2016JG003322.
2015
Grinblat, Y., Kidron, G.J., Karnieli, A., Benenson, I. 2015. Simulating land-use degradation in West Africa with the ALADYN model. Journal of Arid Environments. 112, 52-63. http://dx.doi.org/10.1016/j.jaridenv.2014.05.019.
Rozenstein, O. and Karnieli, A. 2015. Identification and characterization of biological soil crusts in a sand dune desert environment using LWIR emittance spectroscopy. Journal of Arid Environments. 112, 75-86. (http://dx.doi.org/10.1016/j.jaridenv.2014.01.017).
Rozenstein, O., Paz-Kagan, T., Salbach, C. and Karnieli, A. 2014. Comparing the effect of pre-processing transformations on methods of land-use classification derived from spectral soil measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8, 2393-2404. (http://dx.doi.org/10.1016/j.aeolia.2014.08.003).
Cierniewski, J., Karnieli, A., Kaźmierowski, C., Królewicz, S., Piekarczyk, J., Lewińska, K., Goldberg, A., Wesołowski, R. and Orzechowski, M. 2015. Effects of soil surface irregularities on the diurnal variation of soil broadband blue-sky. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8, 493 – 502 (DOI 10.1109/JSTARS.2014.2330691).
Caras, T. and Karnieli, A. 2015. Ground-level classification of a coral reef using a hyperspectral camera. Remote Sensing. 7, 7521-754, doi:10.3390/rs70607521.
2014
Maenhaut, W., Karnieli, A. and Meinrat O.A. 2014. Ten-year study of fine aerosol at Sde Boker, Israel, using PIXE: Time trends, seasonal variation, correlations, and source areas for anthropogenic elements. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 318, 119-124.
Nguy-Robertson, A.L., Peng, Y., Gitelson, A., Arkebauer, T.J., Pimstein, A., Herrmann, I., Karnieli, A., Rundquist, D.C. and Bonfil, D.J. 2014. Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm. Agricultural and Forest Meteorology. 192-193, 140-148.
2013
Karnieli, A., Bayarjargal, Y., Bayasgalan, M., Mandakh, B., Dugarjavc, Ch., Burgheimer, J., Khudulmur, S., Bazhad, S.N. and Gunin, P.D. 2013. Do vegetation indices provide reliable indication of vegetation degradation? A case study in the Mongolian pastures. International Journal of Remote Sensing, 34, 6243-6262.
de Beurs, K., Yan, D. and Karnieli, A. 2013. The effect of large scale conservation programs on the vegetative development of China’s Loess Plateau. In: Chen, J., Wan, S., Henebry, G., Qi, J., Gutman, G., Sun, G. and Kappas, M. (Eds.) Dryland East Asia (DEA): Land Dynamics Amid Social and Climate Change. De Gruyter, 283-305.
2012
2011
Svoray, T. and Karnieli, A. 2011. Rainfall, topography and primary production relationships in a semiarid ecosystem. Ecohydrology. 4, 56-66.
Safriel, U.N., Berliner, P., Novoplansky, A., Laronne, J.B., Karnieli, A., Moshe, I., Kharabsheh, A., Mohammad, A.G. and G. Kusek, G. 2011. Soil erosion-desertification and the Middle Eastern Anthroscapes. In Kapur, K., Eswaran, H. and Blum, W.E.H. (Eds.) Sustainable Land Management: Learning from the Past for the Future. Springer, Heidelberg, 57-124.
2010
Cohen, Y., Alchanatis, V., Zusman Y., Dar, Z., Bonfil, D.J., Karnieli, A.., Zilberman, A., Moulin, A., Ostrovsky, V., Levi, A.., Brikman, R. and Shenker, M. 2010. Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENµS satellite. Precision Agriculture, 11, 520-537.
2009
Karnieli, A., Gilad, U. and Svoray, T. 2009. Satellite image processing and geo-statistical methods for assessing land degradation around watering points in the Ust-Urt Plateau, Kazakhstan. In: Roeder, A. andHill J. (Eds.) Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment. Taylor & Francis Group, London, 313-322.
2008
2007
Pimstein, A., Karnieli, A., Bonfil, D.J. 2007. Wheat and maize monitoring based on ground spectral measurements and multivariate data analysis. Journal of Applied Remote Sensing. 1, 013530environmental ecosystem in the sand dunes across the Israel-Egypt border. Journal of Arid Environments, 60, 27-52.
2006
Derimian, Y., Karnieli., A., Kaufman, Y.J., Andreae, M.O., Andreae, T.W., Dubovik, O., Maenhaut, W., Koren, I. and Holben, B.N. 2006. Dust and pollution aerosols over the Negev Desert, Israel – properties, transport, and radiative effect. Journal of Geophysical Research – Atmospheres, 111, D05205, doi:10.1029/2005JD006549.
2005
Qin, Z., Berliner, P., and Karnieli, A. 2005. Ground temperature measurement and emissivity determination to understand the thermal anomaly and its significance on the development of an arid environmental ecosystem in the sand dunes across the Israel-Egypt border. Journal of Arid Environments, 60, 27-52.
2004
2003
Qin, Z. Li, W., Zhang, M., Karnieli, A. and Berliner, P. 2003. Estimating the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM6. Remote Sensing for Land Resources, 2, 37-43 (in Chinese).
2002
2001
Formenti, P., Andreae, M.O., Andreae, T.W., Ichoku, C., Schebeske, G., Kettle, J., Maenhaut, W., Cafmeyer, J., Ptasinsky, J., Karnieli, A. and Lelieveld, J. 2001. Physical and chemical characteristics of aerosols over the Negev Desert (Israel) during summer 1996. Journal of Geophysical Research – Atmospheres, 106, 4871-4890.
Formenti, P., Andreae, M.O., Andreae, T.W., Galani, E., Vasaras, A., Zerefos, C., Amiridis, V., Orlovsky, L., Karnieli, A., Wendisch, M., Wex, H., Holben, B.N., Maenhaut W. and Lelieveld, J. 2001. Aerosol optical properties and large-scale transport of air masses: observations at a coastal and a semiarid site in the eastern Mediterranean during summer 1998. Journal of Geophysical Research – Atmospheres, 106, 9807-9826.
Holben, B.H., Tanré, D., Smirnov, A., Eck, T.F., Slutsker, I, Chatenet, B., Lavenue, F., Kaufman, Y.J., Van de Castle, J., Setzer, A., Markham, B., Clark, M., Frouin, R., Karineli, A., O’Neill, N., Pietras, C., Pinker, R., Voss, K., Zibordi, G. 2001. An emerging ground based aerosol climatology: Aerosol Optical Depth from AERONET. Journal of Geophysical Research – Atmospheres, 106, 12,067-12,097.
Tanré, D., Kaufman, Y.J., Holben, B.H., Chatenet, B., Karnieli, A., Lavenu, F., Blarel, L., Dubovik, O., Remer L.A. and Smirnov A. 2001. Climatology of dust aerosol size distribution and optical properties derived from remotely sensed data in the solar spectrum. Journal of Geophysical Research – Atmospheres. 106(D16), 18205-18217.
2000
1999
Ichoku, C., Andreae, M.O., Andreae, T.W., Meixner, F.X., Schebeske, G., Formenti, P., Maenhaut, W., Cafmeyer, J., Ptasinski, J., Karnieli, A. and Orlovsky, L. 1999. Interrelationship between aerosol characteristics and light scattering during late-winter in an Eastern Mediterranean arid environment. Journal of Geophysical Research – Atmospheres, 104, 24,371-24,393.
1998
Karnieli, A. 1998. The Effect of Biogenic Crusts on the Spectral Reflectance of the Semi-arid Regions. In: Singh, R.B. and Murai S. (Eds.) Space Informatics for Sustainable Development, Oxford & IBH Publications Co. Pvt. Ltd., New Delhi, 209-212.
1997
Garty, J., Kloog, N., Cohen, Y., Wolfson, R. and Karnieli, A. 1997. The effect of air pollution on the integrity of the chlorophyll, on the spectral reflectance response and on the concentration of airborne Nickel, Vanadium and Sulfur in the Lichen Ramalina duriaei (De Not.) Bagl. Environmental Research, 74, 174-187.
1996
Ichoku, C. and Karnieli, A. 1996. A review of mixture modeling techniques for sub-pixel land cover estimation. Remote Sensing Review, 13, 161-186.
1995
PRE 1995
Karnieli, A. 1991. Stepwise overlay approach for utilizing a geographic information system with a soil moisture accounting model. ITC Journal, 1991-1, 11-18.