Publications

Research Article

• Anand, A., B. Deneu, & V. C. Radeloff. Convolutional Neural Networks outperforms existing Species Distribution Models. Ecological Applications.Under review.
• Silveira, E. M. O., A. Anand, A. M. Pidgeon, E. Wood, R. E. Buron, B. Bar-Massada, L. S. Farwell, A. R. Ives, B. Zuckerberg, and V. C. Radeloff. Scalogram habitat measures to predict bird abundance. Ecography.Under review.
• Schug, F. N., Kasraee, K., A. Anand, A. Rizayeva, M. T. Gorth-Price, M. D. Nita, and V. C. Radeloff. Quantifying urban growth with 1970s Hexagon spy satellite imagery and Mask R-CNN building footprint detection. Remote Sensing of Environment. In review.
• Razenkova, E., Lewinska, K. E., A. Anand, H. Yin, L. S. Farwell, A. M. Pidgeon, P. Hostert, N. C. Coops, V. C. Radeloff (2025). Medium-resolution Dynamic Habitat Indices from Landsat and Sentinel-2 satellite imagery. Ecological Indicators.
• Olah, A., Radeloff, V. C., A. Anand, E. M. O. Silviera, N. Politi, L. Rivera, S. Martinuzzi, G. M. Pastur, A. M. Pidgeon (2025). Landscape scale effects of primary productivity on forest bird species occurrence and abundance in Argentina. Landscape Ecology.
• Sagar HSSC, A. Anand, ., Persche, M., Pidgeon, A.M., Zuckerberg, B., Sekerciaglu, C.H., Burivilova, Z. (2024). Global analysis of acoustic frequency characteristics in birds. Proceedings of the Royal Society B.
• Anand, A., Srivastava, P.K., Pandey, P.C., Khan, M.L., & Behera, M.D. (2022). Assessing the niche of Rhododendron arboreum using entropy and machine learning algorithms: role of atmospheric, ecological, and hydrological variables. Journal of Applied Remote Sensing.16, 042402.
• Șandric, I., Irimia, R., Petropoulos, G.P., A. Anand, Srivastava, P.K., Pleșoianu, A., Faraslis, I., Stateras, D., & Kalivas, D. (2022). Tree’s detection & health’s assessment from ultra-high resolution UAV imagery and deep learning. Geocarto International.
• Anand, A., Malhi, R.K.M., Srivastava, P.K., Singh, P., Mudaliar, A.N., Petropoulos, G.P., & Kiran, G.S. (2022). Optimal band characterization in reformation of hyperspectral indices for species diversity estimation. Physics and Chemistry of the Earth.126, 103040.
• Malhi, R.K.M., A. Anand, Srivastava, P.K., Chaudhary, S.K., Pandey, M.K., Behera, M.D., Kumar, A., Singh, P., & Kiran, G.S. (2022). Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India. Advances in Space Research.69, 1752–1767.
• Malhi, R. K. M., M. K. Pandey, A. Anand, Srivastava, P.K., Petropoulos, G.P., Singh, P., Sandhya Kiran, G., & Bhattarcharya, B. (2022). Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature based attribute evaluators. Geocarto International.37, 4071–4087.
• Anand, A., A. S. Dinesh, P. K. Srivastava, S. K.r Choudhary, A. K. Verma, P. Kumar (2021). Rainfall Rate estimation over India using Global Precipitation Measurement’s Microwave Imager dataset and Machine Learning algorithms. Geocarto International.
• Maurya. S., P. K. Srivastava, A. Yaduvanshi, A. Anand, G. P. Petropoulous, L. Zhuo, R. K. Mall (2022). Rainfall rate estimation over India using global precipitation measurement’s microwave imager datasets and different variants of fuzzy information system. Geocarto International.37(21), 6213–6231.
• Anand, A., Pandey, P.C., Petropoulos, G.P., Pavlides, A., Srivastava, P.K., Sharma, J.K., & Malhi, R.K.M. (2020). Use of hyperion for mangrove forest carbon stock assessment in Bhitarkanika forest reserve: A contribution towards blue carbon initiative. Remote Sensing. 12, 597.
• Malhi, R. K. M., Anand, A., Mudaliar, A.N., Pandey, P.C., Srivastava, P.K., & Sandhya Kiran, G. (2020). Synergetic use of in situ and hyperspectral data for mapping species diversity and above ground biomass in Shoolpaneshwar Wildlife Sanctuary, Gujarat. Tropical Ecology. 61, 106–115.

Seminars & Conferences

• Radeloff, V. C., E. Silveira, R. Buron, A. Anand, A. M. Pidgeon, B. Zuckerberg, A. Ives, L. Farwell, A. Bar-Massada, N. Coops, and M. Hobi. 2024. Multiple spatial scales, long-term trends, and synchrony of the dynamic habitat indices and bird populations. NASA Biodiversity and Ecological Forecasting Science Team Meeting. May 6-9, 2024, Silver Spring, Maryland.
• Nasanbat, E., K. E. Lewinska, A. Anand, M. Nyamtseren, O. Lkhamjav, A. Dorjusen, and V. C. Radeloff. 2024. Grassland degradation in Mongolia based on 37 years of Landsat data, spectral unmixing and pathway analysis of cumulative endmember fractions. American Geophysical Union Fall Meeting. December 9-13, 2024, Washington DC.
• Liu, D., F. Schug, A. Anand, C. Stephens, A. Rizayeva, and V. C. Radeloff. 2024. Trends of global human activity and their impact on vegetation greeness. American Geophysical Union Fall Meeting. December 9-13, 2024, Washington DC.
• Olah, A.M., V. C. Radeloff, A. Anand, E. M. O. Silveira, N. Politi, L. Rivera, S. Martinuzzi, G. M. Pastur, A. M. Pidgeon, “Landscape scale effects of dynamic habitat indices on bird species richness and abundance in Argentina”, Annual meeting of Ecological Society of America. 2024, Long Beach, California, USA.
• A. Anand, V. C. Radeloff, A. Pidgeon, R. Buron, E. Razenkova, J. Timmer, “Implementation of Explainable AI to Map Hierarchical Habitat Selection in Birds, IEEE International Geosciences and Remote Sensing Symposium . 2023, Pasadena, California, USA.
• Radeloff, V. C., E. Silveira, R. Buron, A. Anand, A. M. Pidgeon, B. Zuckerberg, A. Ives, L. Farwell, A. Bar-Massada, N. Coops, and M. Hobi. 2023. Multiple spatial scales, long-term trends, and synchrony of the dynamic habitat indices and bird populations. NASA Biodiversity and Ecological Forecasting Science Team Meeting. May 8-11, 2023, College Park, Maryland.
• A. Anand, S. K. Chaudhary, M. K. Pandey, A. Gupta, P. Singh, P. K. Srivastava, “Estimation and Generation of Carbon Stock Product using Machine Learning Algorithm through Invocation of Cloud-Based Web Services”, at ISRS-ISG National Symposium. 2020, SAC-ISRO, Ahmedabad India.
• A. Anand, P. K. Srivastava, P. C. Pandey, and R. K. M. Malhi, “Earth Observation and Analytical Hierarchy Process based fusion technique to model Regional Forest Fire Risk”, EGU General Assembly. 2019, Vienna.
• A. Anand, P. K. Srivastava, K. Lal, P. C. Pandey (2018), “Estimation of Above Ground Biomass for assessing the total carbon stock within the forest cover of Ramgarh District using Sentinel 1 SAR data”, International Conference on Environmental Challenges and Sustainability (ICECS). 2018, Ranchi, India.

Science Communication

Science communication is crucial for public engagement with environmental issues. I regularly contribute articles, participate in podcasts, and give talks to bridge the gap between scientific research and public understanding.