Research Publications
Patel, N.R; Pokhariyal, S; Singh, R.P.; Rana, R.S.; Govind, A; Surendran, U (2026). Evapotranspiration Dynamics and their Environmental Drivers in a Rainfed Rice-Wheat Cropping System of a Hilly Region using Eddy Covariance Technique. Nature Scientific Reports. (accepted)
Selvaraj, S., Alsamman, A. M., Ha, T. V., Gakhar, S., Monikandan, S. K. S., & Govind, A. (2026). Integrating artificial intelligence and climate data for predicting rice brown spot disease dynamics. Smart Agricultural Technology, 14, 102248. https://doi.org/10.1016/j.atech.2026.102248
Hegazy, A., Govind, A., & Farid, M. (2026). Robust greenhouse evapotranspiration modeling for sustainable multi-sectoral assessment. Energy Nexus, 22, 100730. https://doi.org/10.1016/j.nexus.2026.100730
Kertolli, E., Komarek, A., Prosperi, P., Hosseini-Yekani, S.-A., Fan, X., Govind, A., Harbouze, R., & Belhouchette, H. (2026). Assessment of readiness for conservation agriculture in Morocco: implications for targeting smallholder support. Agricultural Systems, 237, 104797. https://doi.org/10.1016/j.agsy.2026.104797
Asgharinia, S., Devkota, K., Muli, M., Ngetich, F.K., Nejatian, A., Niane, A.A., Devkota, M., Nangia, M., Kipkorir, V., Juma, A., Alqerem, R., Fischer, G., Sedrakyan, A., Latham, J., Elshawa, L., Alshehhi, M., Hamid, F., Tibbo, M., Mukhtar, A., Govind, A., et al. (2026). Crop yield modelling supporting the Master Plan for Sustainable Agriculture in the Abu Dhabi Emirate. FAO; ADAFSA , Rome, Abu Dhabi. 10.4060/cd8912en
Sahoo, S., Singha, C. & Govind (2026). Revolutionizing Wheat Crop Disease Prediction: A Novel Framework on Integrating Nature-Inspired Random Forest Optimization and Explainable Artificial Intelligence (XAI) in Morocco . Journal of Agriculture and Food Research. 28, 102924. https://doi.org/10.1016/j.jafr.2026.102924
Akinseye, Folorunso M., Ajeigbe, Hakeem A., Moyo, Martin, MacCarthy, Dilys S., Govind, Ajit, Whitbread, Anthony M., Sustainable Intensification Option for Sorghum-Based Cropping Systems in the West African Savanna: A Review of Soil and Crop Management Practices, International Journal of Agronomy, 2026, 2728136, 15 pages, 2026. https://doi.org/10.1155/ioa/2728136
Devkota, M., Devkota, K. P., Omar, M. E. D., Attaher, S., Govind, A., & Nangia, V. (2026). Context-specific agronomic solutions for achieving agronomic gains with reduced environmental footprints in irrigated drylands of Egypt. Agricultural Systems, 232, 104566. https://doi.org/10.1016/j.agsy.2025.104566
Halder, S., Sahoo, S., Hazra, T. et al. Impact assessment of LULC changes on groundwater resources: Study in piyali river Sub-basin in Sundarban, West Bengal, India. Arab J Geosci 19, 51 (2026). https://doi.org/10.1007/s12517-026-12444-0
Alvarez, C.I., Govind, A., Bollas, A.M. et al. Seasonal agricultural vulnerability in semi-arid Morocco: combining remote sensing and farmer knowledge to inform climate adaptation. Climatic Change 179, 64 (2026). https://doi.org/10.1007/s10584-026-04160-1
Singha, C., Sahoo, S. & Govind, A. Stochastic optimization and ensemble learning towards robust irrigation advisory to enhance water productivity under a changing climate. Discov Sustain 7, 133 (2026). https://doi.org/10.1007/s43621-025-02562-2
Singha, C., Sahoo, S., Swain, K. C., Govind, A., Al-Quraishi, A. M. F., & Singh, S. P. (2026). Utilization of MOLUSCE tool and GEE cloud to predict the variation of LST through LULC, NDBI and NDVI in Tollygunge-Panchannagram Basin of Kolkata. Discover Environment, 4(1). https://doi.org/10.1007/s44274-025-00474-6
Ha, T.V., Govind, A. & Thi, N.Q. Climate and soil moisture variability and cropland exposure in Western Yemen: a spatiotemporal analysis using satellite and reanalysis time series from 2000 to 2024. Nat Hazards 122, 181 (2026). https://doi.org/10.1007/s11069-025-07828-6
Ha, T.V., Govind, A., Thi, N.Q. et al. Spatiotemporal Patterns of Vegetation Stress and Hydroclimatic Responses in the CWANA Region (2000–2024). Earth Syst Environ (2026). https://doi.org/10.1007/s41748-026-01107-5
Al-Yaari, A., & Govind, A. (2026). How armed conflict shapes environmental trends in Yemen? Remote Sensing Applications: Society and Environment, 41, 101927. https://doi.org/10.1016/j.rsase.2026.101927
Sahoo, S., Singha, C. & Govind, A. Enhanced soil salinity index prediction using hybrid stacking ensemble machine learning with explainable artificial intelligence (XAI) technique: a case study of the Nile Delta, Egypt. Discov Appl Sci 8, 36 (2026). https://doi.org/10.1007/s42452-025-08038-2
Singha, C., Sahoo, S., & Govind, A. (2026). Hybrid framework of physics-inspired optimization and explainable ensemble learning for irrigation classification mapping in Morocco. Environmental Research Communications, 8(1), 015022. https://doi.org/10.1088/2515-7620/ae2449
Thornbush, M., Govind, A. (2025) MRV protocols used in carbon trading applied to dryland nations in the Global South. Sustainability. https://doi.org/10.3390/su172411001
Sahoo, S., Singha, C., Dey, D., & Govind, A. (2025). A review of sustainable drought resilience strategies for India’s diverse agroclimatic landscapes. Hydrology Research, 57(1), 78–105. https://doi.org/10.2166/nh.2025.216
Hegazy, A., Govind, A. Assessing the effectiveness of low-enthalpy geothermal energy for greenhouse temperature regulation towards enhancing desert agriculture. Sci Rep 15, 39014 (2025). https://doi.org/10.1038/s41598-025-22294-7
Patel, N.R; Pokhariyal, S; Singh, R.P;Rana, R.S; Govind, A and Surendran, U (2025) Evapotranspiration Dynamics and their Environmental Drivers in a Rainfed Rice-Wheat Cropping System of a Hilly Region using Eddy Covariance Technique, Scientific Reports (in press)
Maity, S., Sahoo, S. & Govind, A.(2025) A field-based data-driven modeling approach for livelihood vulnerability examination of rice farmers' considering climate risk in parts of West Bengal, Eastern India. Discov Sustain 6, 861. https://doi.org/10.1007/s43621-025-01711-x
Peethani, S; Kumar, K; Kheir,A; and Govind, A (2025). Assessment of heat stress vulnerability and potential adaptations among farmers in Senegal, Journal of Agrometeorology. https://doi.org/10.54386/jam.v27i4.3055
Alvarez, C.I., Govind, A. Assessing climate and land use changes in Morocco (2001–2023): from a geospatial and farmers’ perspective. Theor Appl Climatol 156, 420 (2025). https://doi.org/10.1007/s00704-025-05656-z
Govind, A (2025). A Gap Analysis to Improve Climate Information Services in Mali to Foster Climate Smart Agriculture. Adv in Hydro & Meteorol. 3(1): AHM.MS.ID.000552. DOI: 10.33552/AHM.2025.03.000552 https://irispublishers.com/ahm/pdf/AHM.MS.ID.000552.pdf
Alvarez, I.C and Govind, A (2025). Environmental and Climate Variability in Senegal Over the Last Two Decades: A Remote Sensing Approach to Assessing Climate Vulnerability in a Sahelian Country. Remote Sensing Applications: Society and Environment, 38, 101584, https://doi.org/10.1016/j.rsase.2025.101584
Bijlwan, A; Ranjan, R; Pokhariyal, S; Govind, A; Singh, A. K; Singh, R.K; Rajput, R.K.S; Srivastava, R.K (2025). Enhancing Rice Disease and Insect-Pest Detection through Augmented Deep Learning with Transfer Learning Techniques . Smart Agricultural Technology. 11, 100954. https://doi.org/10.1016/j.atech.2025.100954
Singha, C., Sahoo, S., & Govind, A. (2025). Optimizing water management and climate-resilient agriculture in rice-fallow regions of the Dwarakeswar river basin using ML models. In Discover Applied Sciences (Vol. 7, Issue 4). https://doi.org/10.1007/s42452-025-06797-6
Mangal, M and Govind, A (2025). Water, Agriculture, And Climate: A Study of Moroccan Agricultural Water Management Policy. Water Policy 27 (9): 941–960. https://doi.org/10.2166/wp.2025.313
Singha, C., Sahoo, S., & Govind, A. (2025). Transforming Soil Quality Index Predictions in the Nile River Basin Using Hybrid Stacking Machine Learning Techniques. In Advances in Space Research. https://doi.org/10.1016/j.asr.2025.03.058
Kheir, A. M. S., Govind, A., Nangia, V., El-Maghraby, M. A., Elnashar, A., Ahmed, M., Aboelsoud, H., Gamal, R., & Feike, T. (2025). Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality. In Computers and Electronics in Agriculture (Vol. 234, p. 110317). https://doi.org/10.1016/j.compag.2025.110317
Roy, D., Das, B., Singh, P. et al. (2025) Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones. Sci Rep 15, 10824 (2025). https://doi.org/10.1038/s41598-025-92135-0
Sahoo,S; Singha,C; Govind,A and and Sharma, M (2025). Leveraging Machine Learning to Predict Climate Change Impact on Rice Crop Disease in Eastern India, Environmental Monitoring and Assessment . 197, 366 (2025). https://doi.org/10.1007/s10661-025-13744-w
Sahoo, S., Singha, C., Govind, A. et al. Review of aquifer storage and recovery opportunities and challenges in India. Environ Earth Sci 84, 122 (2025). https://doi.org/10.1007/s12665-025-12124-4
Singha, C., Sahoo, S., Mahtaj, A. B., Moghimi, A., Welzel, M., & Govind, A. (2025). Advancing flood risk assessment: Multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin. In Journal of Environmental Management (Vol. 380, p. 124972). https://doi.org/10.1016/j.jenvman.2025.124972
Moghimi, A; Sahoo,S; Singha,C and Govind,A (2025). Review of Climate-Resilient Agriculture for Ensuring Food Security: Sustainability Opportunities and Challenges of India. Environmental and Sustainability Indicators . Volume 25 (100544), https://doi.org/10.1016/j.indic.2024.100544
Mabhaudhi, T; Dirwai, T.L; Taguta, C; Chimonyo, V; Senzanje, A; Abera, W; Govind, A; Dossou-Yovo, E.R (2024), Linking Weather and Climate Information Services (WCIS) to Climate-Smart Agriculture (CSA) Practices: Optimising CSA for Enhanced Agricultural Water Management Across Multiple Scales. Climate Services. Volume 37 (100529). https://doi.org/10.1016/j.cliser.2024.100529
Sahoo, S, Sinha, C and Govind, A (2024). Review of Climate-Resilient Agriculture for Ensuring Food Security: Sustainability Opportunities and Challenges of India,Environmental and Sustainability Indicators https://doi.org/10.1016/j.indic.2024.100544
Peethani,S; Pathakoti,M; Mahalakshmi, D.V; Kheir, A; Singh, A and Govind,A (2024). Variability of ENSO teleconnections indices, and its impacts on Moroccan Agriculture , Journal of Atmospheric and Solar-Terrestrial Physics. Volume 265 (106386), https://doi.org/10.1016/j.jastp.2024.106386
Sahoo, S; Singha,C and Govind, A (2024). Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India, Journal of Agriculture and Food Research, Volume 18 (101424) https://doi.org/10.1016/j.jafr.2024.101424
Ben Salem, I., Rouatbi, M., Mlika, M., Getachew, T., Govind, A., Haile, A., Raggem, M., Lahsoumi, R., & Rekik, M. (2024). Response of maiden ewes to the ‘ram effect’ is a robust management practice and a candidate selection trait for enhanced reproductive performance in drylands. 18 (11) p. 101332 https://doi.org/10.1016/j.animal.2024.101332
Govind, A (2024). Vegetation as “Reed Diffusers” Accelerate the Hydrological Cycle of Arid Land surface. Advances in Hydrology & Meteorology, http://doi.org/10.33552/AHM.2024.02.000529
Unnisa, Z., Govind, A., Prikaziuk, E., Van der Tol, C., Lasserre, B., Burchard-Levine, V., & Marchetti, M. (2024). Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets. In Applied Sciences (Vol. 14, Issue 17, p. 7685). https://doi.org/10.3390/app14177685
Singha, C., Bhattacharjee, I., Sahoo, S., Abdelrahman, K., Uddin, M. G., Fnais, M. S., Govind, A., & Abioui, M. (2024). Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal. In Journal of Environmental Management, 370, 22721. https://doi.org/10.1016/j.jenvman.2024.122721
Kurbanova,Z; Tadjieva,A; Djanibekova, N; Govind, A and Akramkhanov, A. (2024). Farmers’ participation in messenger-based social groups in irrigated areas of Kazakhstan and Uzbekistan. Agribusiness. https://doi.org/10.1002/agr.21995
Nguyen Quang Thi, Ajit Govind, and Tuyen V. Ha (2025). Spatial and temporal variability of soil moisture active and passive (SMAP) droughts and their impacts on vegetation in the Central Highlands of Vietnam. Environmental Monitoring Assessment. Volume 197, 203, (2025). https://doi.org/10.1007/s10661-025-13622-5
Alvarez, C. I., & Govind, A. (2024). Using Remote Sensing Data in the Cloud to Monitor Climate Change in Senegal Regions Based on Seasonal Variables from 2000 to 2020. An Opportunity to Sustainable Policies. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (Vol. 12735, pp. 921–925). IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. https://doi.org/10.1109/igarss53475.2024.10641322
Sahoo, S., Singha, C. & Govind, A. (2024). Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India. Paddy Water Environ. https://doi.org/10.1007/s10333-024-00970-0
Kheir, A.M.S; Govind, A; Nangia, V; Elnashar, A; Devkota, M; Omar, M and Feike, T (2024). Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather. Environmental Research Communications. https://iopscience.iop.org/article/10.1088/2515-7620/ad2d02
Ahmed M.S. Kheir., Abdelrazek Elnashar, Alaa Mosaad, Ajit Govind (2023). An Improved Deep Learning Procedure for Statistical Downscaling of Climate Data, Heliyon, 9, e18200, https://doi.org/10.1016/j.heliyon.2023.e18200 .
Chiranjit Singha, Satiprasad Sahoo, Ajit Govind, Biswajeet Pradhan, Shatha Alrawashdeh, Taghreed Hamdi Aljohani, Hussein Almohamad, Abu Reza Md Towfiqul Islam, Hazem Ghassan Abdo; Impacts of hydroclimate change on climate-resilient agriculture at the river basin management. Journal of Water and Climate Change 2023; jwc2023656. doi: https://doi.org/10.2166/wcc.2023.656
Kheir, Ahmed; Mkuhlani, Siyabusa ; Mugo, Jane ; Elnashar, Abdelrazek ; Nangia, Vinay; Devare, Medha; Govind, Ajit (2023). Integrating APSIM model with machine learning to predict wheat spatial distribution. Agronomy Journal, ASA https://doi.org/10.1002/agj2.21470
Kheir, A.M.S.; Govind, A.; Zoghdan, M.G.; Khalifa, T.H.; Aboelsoud, H.M.; Shabana, M.M.A. The Fusion Impact of Compost, Biochar, and Polymer on Sandy Soil Properties and Bean Productivity. Agronomy 2023, 13, 2544. https://doi.org/10.3390/agronomy13102544
NQ Thi, A Govind, MH Le, NT Linh, TTM Anh, NK Hai, TV Ha (2023). Spatiotemporal characterization of droughts and vegetation response in Northwest Africa from 1981 to 2020. The Egyptian Journal of Remote Sensing and Space Science 26 (3), 393-401. https://doi.org/10.1016/j.ejrs.2023.05.006
Pokhariyal, S.; Patel, N.R.; Govind, A. Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review. Agronomy 2023, 13, 2302. https://doi.org/10.3390/agronomy13092302
Singha,C; Swain, K.C; Sahoo, S and Govind, A (2023).Prediction of Soil Nutrients through PLSR and SVMR Models by VIs-NIR Reflectance Spectroscopy. The Egyptian Journal of Remote Sensing and Space Science 26(4). 901-918. https://doi.org/10.1016/j.ejrs.2023.10.005
Sahoo, S.; Govind, A. (2023). Understanding Changes in the Hydrometeorological Conditions towards Climate-Resilient Agricultural Interventions in Ethiopia. Agronomy 2023, 13, 387. https://doi.org/10.3390/agronomy13020387
Aboelsoud, H M.; Habib, A; Engel, B; Hashem, A, A.; El-Hassan, W,A; Govind, A; Elnashar, A; Eid, M; Kheir,A (2023). The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting. Journal of Hydrology: Regional Studies. Volume 47, June 2023, 101372. https://doi.org/10.1016/j.ejrh.2023.101372
Sahoo, S.; Govind, A. Understanding Changes in the Hydrometeorological Conditions towards Climate-Resilient Agricultural Interventions in Ethiopia. Agronomy 2023, 13, 387. https://doi.org/10.3390/agronomy13020387
Unnisa, Z.; Govind, A.; Lasserre, B.; Marchetti, M. Water Balance Trends along Climatic Variations in the Mediterranean Basin over the Past Decades. Water 2023, 15, 1889. https://doi.org/10.3390/w15101889
AW Worqlul, M Haddad, S Alemayehu, A Govind (2023). Developing a satellite-based combined land degradation index for monitoring environmental change: A case study in Tana-Beles watershed, Upper Blue Nile, Ethiopia. Remote Sensing Applications: Society and Environment,101050, https://doi.org/10.1016/j.rsase.2023.101050
Govind, A (2022). Towards Climate Change Preparedness in MENA’s Agricultural Sector, Agronomy 2022, 12(2), 279; https://doi.org/10.3390/agronomy12020279
Läderach P, Merrey DJ, Schapendonk F, Dhehibi B, Ruckstuhl S, Mapedza E, Najjar D, Dessalegn B, GirirajA, Nangia V, Al-Zu'bi M, Biradar C, Pacillo G, Govind A, Hakhu A, Yigezu YA, Dutta Gupta T, Madurga-LopezI, Lahham N, Cosgrove B, Joshi D, Grosjean G, Hugh B, Elmahdi A, Frija A, Udalagama U, Nicol A. 2022.Strengthening Climate Security in the Middle East and North Africa Region. Position Paper No. 2022/3. CGIARFOCUS Climate Security (link).
Attia, A.; Govind, A.; Qureshi, A.S.; Feike, T.; Rizk, M.S.; Shabana, M.M.A.; Kheir, A.M.S. Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments. Water 2022, 14, 3647. https://www.mdpi.com/2073-4441/14/22/3647
Liu,Y; Wu,C; Liu,L; Gu,C; Black,A; Jassal,R.S; Hörtnagl,L; Montagnan,L; Moyano,F; Varlagin,A; Arain,M.A; Govind, A (2021). Interannual and spatial variability of net ecosystem production in forests explained by an integrated physiological indicator in summer, Ecological Indicators, 129 (107982). https://doi.org/10.1016/j.ecolind.2021.107982
Govind, A; Wery, J; Dessalegn, B; Elmahdi, A; Bishaw, Z; Nangia, V; Biradar, C; Nisa, Z; Abay, K; Amarnath, G; Breisinger, C; Ibrahim, N; Kleinermann, C; Niane, A and Marja, T (2021) A Holistic Framework Towards Developing a Climate Smart Agrifood System in the Middle East and North Africa: A Regional Dialogue and Synthesis, Agronomy 2021, 11(11), 2351; https://doi.org/10.3390/agronomy11112351
Nisa, Z; Khan,M.S; Govind,A; Marchetti,M; Lasserre,B; Magliulo, E and Manco, A (2021). Evaluation of SEBS, METRIC-EEFlux, and QWater Actual Evapotranspiration for Mediterranean Rotation Maize Cropland in Southern Italy. Agronomy, 1079698. https://doi.org/10.3390/agronomy11020345
Nisa, Z; Govind, A; Marchetti,M and Lasserre, B (2021). Water Productivity Assessment of Wheat and Barley in Mediterranean Region: Review And Recommendations, Irrigation And Drainage, 71 (S1), 51-70. https://doi.org/10.1002/ird.2710
Karthikeyan, K; Kumar, N; Govind, A; Pushpanjali and Prasad, J (2020). Assessment of Soil Site Suitability for Cotton farming in the Semi-arid Regions of Central India: An Analytical Hierarchy Process. J of the Indian Society of Soil Science. 67(4). https://epubs.icar.org.in/index.php/JISSS/article/view/100157
Athira, K., Sooraj, N. P., Jaishanker, R., Saroj Kumar, V., Sajeev, C. R., Pillai, M. S., Govind, A, and Dadhwal, V. K. (2019). Quantitative Representation of Floral Colors. Color Research and Application, 44:426–432. https://doi.org/10.1002/col.22353
Athira, K., Sooraj, N. P., Jaishanker, R., Saroj Kumar, V., Sajeev, C. R., Pillai, M. S., Govind, A, Ramarao, N and Dadhwal, V. K. (2019). Chromatic exclusivity hypothesis and the physical basis of floral color. Ecological Informatics, 49, 40–44. https://doi.org/10.1016/j.ecoinf.2018.11.006
Kumari, J, and Govind, A (2017), Greening trends of the Indian landmass, Ecology, Environment & Conservation, 23 (3),1605-1614. https://www.envirobiotechjournals.com/issues/article_abstract.php?aid=7968&iid=231&jid=3
Rawat, J.S; Govind, A; Rawat, G; Rai, S.P; Joshi, M and Gahlot, N (2016). Perennial to Ephemeral Transformation of a lesser-Himalayan Watershed, Current Science 111 (4), 686-694 (*shared first authorship).
Govind, A; Cowling, S; Kumari, J; Rajan, N and Al Yaari, A (2015). Distributed Modeling of Ecohydrological Processes at High Spatial Resolution Over a Landscape having Patches of Managed Forest Stands and Crop Fields in SW Europe. Ecological Modeling, 10.1016/j.ecolmodel.2014.10.019.
Pisek1,J; Govind,A; Arndt,S; Hocking,D; Wardlaw,T; Fang,H; Matteucci,G; Longdoz,B and Suarez,L (2015). Intercomparison of clumping index estimates from POLDER, MODIS, and MISR data over reference sites, ISPRS J. Photogramm. Remote Sens. 101, 47–56.
Govind, A. and Kumari, J. (2014). Understanding the Terrestrial Carbon Cycle: An Ecohydrological Perspective, Int. Journal of Ecology, Article ID 712537.
Al Yaari,A; Wigneron,J-P; Ducharne,A; De Rosnay,P; Kerr, Y ; De Jeu, R; Govind,A; Al Bitar, A; Albergel,C; Balsamo,G and (2014). Global-scale evaluation of two passive microwave satellite-based soil moisture datasets (SMOS and AMSR-E) with respect to modeled estimates. Remote Sensing of Environment. 149, 181-195, doi:10.1016/j.rse.2014.04.006.
Défossez,P; Richard,G; Keller,T; Adamiade,V; Govind,A; and Mary,B (2014). Modeling the impact of declining soil organic carbon on the soil mechanical strength: application to a cultivated Eutric Cambisol with massive straw exportation for energy production in Northern France. Soil & Tillage Research, 141, 44-54.
Govind, A; Guyon, D; Roujean, J-L; Yauschew-Raguenes, N; Kumari, J; Pisek, P; Wigneron, J-P (2013) Effects of Canopy Architectural Parameterizations on the Modeling of Radiative Transfer Mechanism. Ecological Modeling.251(2013), 114-126.
Govind, A (2013). On the Nature of Canopy Illumination due to Differences in Elemental Orientation and Aggregation for Radiative Transfer. International Journal of Biometeorology (DOI: 10.1007/s00484-013-0769-1).
Wang, Z; Grant, R.; Arain, A; Bernier, P; Chen, B; Chen, J; Govind, A.; Guindon, L; Kurz, W. A; Peng, C; Price, D.T; Stinson, G; Sun, J; Trofymow J. A. and Yeluripati, J. (2013) Incorporating Weather Sensitivity in Inventory- based Estimates of Boreal Forest Productivity: A Meta-analysis of Process Model Results. Ecological Modeling 260, 25-35.
Govind, A., Chen, J.M., Bernier, P.Y., Margolis, H., Guindon, L. and Beaudoin, A. (2011). Spatially Distributed Modeling of the Long-Term Carbon Balance of a Boreal Landscape. Ecological Modeling. 222(15), 2780-2795.
Govind, A., Chen, J.M., McDonnell, J, Kumari, J and Sonnentag, O. (2010). Effect of Lateral Hydrological Processes on Photosynthesis and Evapotranspiration., Ecohydrology.3. (DOI: 10.1002/eco.141).
Govind, A., Chen, J.M.; and Ju, W.(2009b). Spatially Explicit Simulation of Hydrologically Controlled Carbon and Nitrogen Cycles and Associated Feedback Mechanisms in a Boreal Ecosystem. Journal of Geophysical Research.114, G02006, (DOI: 10.1029/2008JG000728).
Govind, A., Chen, J.M., Margolis, H., Ju, W., Sonnentag, O and Giasson, M.A. (2009a). A Spatially Explicit Hydro- ecological Modeling Framework (BEPS-TerrainLab V2.0): Model Description and Test in a Boreal Ecosystem in Eastern North America, Journal of Hydrology. 367:200-216. (doi:10.1016/j.jhydrol.2009.01.006).
Sonnentag, O; Chen, J.M; Roulet, N.T; Ju, W; and Govind, A (2008). Spatially Explicit Simulation of Peatland Hydrology and Carbon Dioxide Exchange: the Influence of Mesoscale Topography. Journal of Geophysical Research 113, G02005, (DOI: 10.1029/2007JG000605).
Sonnentag, O; Chen, J.M; Roberts, D; Talbot, J; Halligan, K; Govind A (2007) Mapping Tree and Shrub Leaf Area Indices in an Ombrotrophic Peatland Using Field Measurements and Multiple End Member Spectral Mixture Analysis. Remote Sensing of Environment. 109:342-360.
Chen. J.M, Govind, A; Sonnentag, O; Zhang, Y; Amiro, B and Barr, A(2006): Leaf Area Index of Fluxnet Canada sites.Agricultural and Forest Meteorology.140:257-268.
Kumari. J, Govind.A and Govind. A* (2006): Entropy Change as Influenced by Anthropogenic Impact on a Boreal Land Cover-A Case Study. Journal of Environmental Informatics 7(2) 75-83. *Arun Govind, Univ. of Saskatchewan, Canada.
Kumari. J, Govind.A and Govind. A* (2006): Light Use Index: A Biophysical Index to Predict Plant Growth Parameters. Journal of Agrometeorology 8(2). *Arun Govind, Univ. of Saskatchewan, Canada.
Govind. A; Bhavanarayana, M; Kumari. J, and Govind. A* (2005): Efficacy of Different Indices Derived from Spectral Reflectance of Wheat for Nitrogen Stress Detection. Journal of Plant Interactions 1(2):93-105. *Arun Govind, Univ. of Saskatchewan, Canada.
Govind,A ; Bonnefond, J-M; Kumari,J; Moisy,C; Loustau,D and Wigneron,J-P (2012), Modeling the eco-hydrological processes in the Landes de Gascogne, SW France, Proceedings of Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2012 IEEE Fourth Intnl.Symposium, vol., no., pp.133,140. (peer-reviewed proceedings)
Regniers, O.; Govind, A.; Guyon, D.; Wigneron, J.; Baret, F., A multiscale and multisensor approach of LAI retrieval in a maritime pine ecosystem, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, vol., no., pp.1695,1698, 22-27 July 2012, DOI: 10.1109/IGARSS.2012.635119 (peer-reviewed proceedings)
Govind, A., Guyon, D., Wigneron, J.-P. (2010). Effect of Canopy Architecture on Carbon and Water Fluxes: a numerical experiment. Proceedings of LANDMOD 2010 - International Conference on Integrative Landscape Modelling, Montpellier, France. (2010-02-03 - 2010-02-05). (peer-reviewed proceedings)
Alyaari, A; Wigneron, JP.; Ducharne, A; Kerr, Y.; Al Bitar, A; de Jeu, R.; Govind, A; de Rosnay, P.; Albergel, C.; Munoz- Sabater, J., Performances of SMOS and AMSR-E soil moisture retrievals against Land Data Assimilation system estimates, Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting vol., no., pp.19,24, 24-27 March 2014 DOI: 10.1109/MicroRad.2014.6878900 (peer-reviewed proceedings).
Swelam, A; Govind, A; Abdallah, M; Steduto, P and Taha, A (2019) Validation of Remote-Sensing Evapotranspiration Data of Selected Crops in The Nile Delta. Full Paper on 3rd World Irrigation Forum (WiF3), ST-3.1 W.3.1.04.
Edited Books/ Book Chapters
Singha, C; Sahoo,S and Govind, A (2025) Sustainable Management of Delta Ecosystems ResiliencecCase Studies on Delta Adaptation Pathways. Deltas of the World" series. Springer. https://link.springer.com/series/17070/books
Maity, S., Sutradhar., C, Biswas, B., Das, J., Sahoo, S. and Govind, A. (2025). Developing the Agricultural Performance Index (API) Using the Open-Source SAR Data on Google Earth Engine (GEE): A Study in Paschim Medinipur of West Bengal, India, Exploring New Dimensions for Sustainable Development Goals, Springer Proceedings in Geography and Sustainability, https://doi.org/10.1007/978-3-032-00457-4_2
Läderach, P., Schapendonk, F., Shirsath, P., Amarnath, G., Prager, S., Gummadi, S., Kramer, B., Govind, A., Pacillo, G. (2023). The Climate–Security Nexus: Securing Resilient Livelihoods through Early Warning Systems and Adaptive Safety Nets. In B. Campbell, P. Thornton, A. Loboguerrero, D. Dinesh, & A. Nowak (Eds.), Transforming Food Systems Under Climate Change through Innovation (pp. 63-74). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009227216.007
Govind, A and Chen, J.M (2009). Mapping of Terrestrial Carbon Sources and Sinks through Remote Sensing and Modeling. In: Geoinformatics for Natural Resource Management. Eds: Joshi, P.K; Pani, P; Mohapatra, S.N. Nova Science Publishers, Inc. ISBN:978-160692-211-8.
Stigter, K and Govind, A and (2009). Improving the Issuing, Absorption, and use of Climate Forecast Information in Agricultural Production. In: Applied Agrometeorology. Ed, Stigter,K. Springer, Heidelberg/New York
Govind, A and Stigter, K (2009). The Sustainable Development and Use of Agro-ecosystems. In: Applied Agrometeorology. Ed, Stigter,K. Springer, Heidelberg/New York.
Abreu,M, and others (2006). Chapter 8-: Weather Hazards to Forest and Non-Forest Trees.In Applications of meteorology to forestry and non-forest. In: WMO/CAgM Guide to Agricultural Meteorological Practices (GAMP).Ed: Stigter,K; WMO, Geneva.
Kumari,J; Govind,A and Himashu Pathak (2003). International Initiatives on Combating Global Warming. In: Soil and Greenhouse Effect, Monitoring and Mitigation. Ed, H. Pathak, and S. Kumar, CBS Publishers, New Delhi. pp 115-123.