Reply to Mas et al.: Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943
National Commission for the Knowledge and Use of Biodiversity (CONABIO), Liga Periférico-Insurgentes Sur 4903, Parques del Pedregal, 14010 Tlalpan, Mexico City, Mexico
National Forestry Commission (CONAFOR), Periférico Poniente 5360, San Juan de Ocotán, Zapopan, 45019 Jalisco, Mexico
Regional Office for Latin America and the Caribbean, Food and Agriculture Organization of the United Nations (FAO), Av. Dag Hammarskjöld 3241, Vitacura, Santiago, Chile
National Institute for Statistics and Geography (INEGI), Héroe de Nacozari 2301 Sur, Jardines del Parque, 20270 Aguascalientes, Aguascalientes, Mexico
Author to whom correspondence should be addressed.
Academic Editors: Parth Sarathi Roy and Prasad S. Thenkabail
Received: 4 June 2015 / Revised: 31 May 2016 / Accepted: 13 June 2016 / Published: 23 June 2016
Mas, J.F. et al. have submitted a paper [1
] for publication, which aims to respond to a paper published by Gebhardt et al. [2
]. Mas, J.F. et al. had received a consultancy in 2013 to assess the quality of the early prototype products partly described in Gebhardt et al. in 2014. This consultancy, although a formal non-disclosure agreement had not been demanded, was awarded under the mutual understanding that the data handed over to Mas et al. constitute the early development phase of the program. Therefore, Mas et al. had been asked to give an assessment on the quality of the prototypes to obtain a proof of concept for the proposed workflow of MAD-Mex. It was clear that this assessment would suffer from limited availability of high quality training and validation data available in 2013. Mas et al. finally did not execute the consultancy due to the limited vector processing capacities in their lab. In October 2014, we sent the latest products, version 4.2 of the MAD-Mex products, including the more than 200,000 validation points gathered from independent expert interpreters of all Mexican ecosystems. Mas et al. did not respond to this transfer or to our request to collaborate in the quality control and assessment of MAD-Mex.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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MDPI and ACS Style
Schmidt, M.; Gebhardt, S.; Wehrmann, T.; Ressl, R.; Muñoz Ruiz, M.; Meneses Tovar, C.; Morfin, J.; Rodríguez, R.; Serrano, E.; Santos, L.; Argumedo Espinoza, J.; Elemen, C.; Victoria, A.; Luis Ornelas, J. Reply to Mas et al.: Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943. Remote Sens. 2016, 8, 534.
Schmidt M, Gebhardt S, Wehrmann T, Ressl R, Muñoz Ruiz M, Meneses Tovar C, Morfin J, Rodríguez R, Serrano E, Santos L, Argumedo Espinoza J, Elemen C, Victoria A, Luis Ornelas J. Reply to Mas et al.: Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943. Remote Sensing. 2016; 8(7):534.
Schmidt, Michael; Gebhardt, Steffen; Wehrmann, Thilo; Ressl, Rainer; Muñoz Ruiz, Miguel; Meneses Tovar, Carmen; Morfin, Jorge; Rodríguez, Raul; Serrano, Enrique; Santos, Lucio; Argumedo Espinoza, Jesús; Elemen, Carlos; Victoria, Arturo; Luis Ornelas, Jose. 2016. "Reply to Mas et al.: Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943." Remote Sens. 8, no. 7: 534.
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