Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models
Makori, D.M.; Fombong, A.T.; Abdel-Rahman, E.M.; Nkoba, K.; Ongus, J.; Irungu, J.; Mosomtai, G.; Makau, S.; Mutanga, O.; Odindi, J.; Raina, S.; Landmann, T. Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models. ISPRS Int. J. Geo-Inf. 2017, 6, 66. https://doi.org/10.3390/ijgi6030066
Makori DM, Fombong AT, Abdel-Rahman EM, Nkoba K, Ongus J, Irungu J, Mosomtai G, Makau S, Mutanga O, Odindi J, Raina S, Landmann T. Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models. ISPRS International Journal of Geo-Information. 2017; 6(3):66. https://doi.org/10.3390/ijgi6030066
Chicago/Turabian StyleMakori, David M.; Fombong, Ayuka T.; Abdel-Rahman, Elfatih M.; Nkoba, Kiatoko; Ongus, Juliette; Irungu, Janet; Mosomtai, Gladys; Makau, Sospeter; Mutanga, Onisimo; Odindi, John; Raina, Suresh; Landmann, Tobias. 2017. "Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models" ISPRS Int. J. Geo-Inf. 6, no. 3: 66. https://doi.org/10.3390/ijgi6030066