토지피복분류도(1:50000)

  • 환경·자연·기후
  • 자연

국토의 표면현황을 환경적, 과학적 기준에 따라 분류하여, 동질의 특성을 지닌 구역을 색깔로 쉽게 구분이 가능토록 한 전자지도

라이센스

크리에이티브 커먼즈 라이선스 저작자표시-비영리-변경금지[CC BY-NC-ND]

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각종 코드정보는 행정표준코드관리시스템을 이용해보세요. 링크이동

찾으시고자 하는 데이터가 없을 시, 공간정보 수요조사에 답변 부탁드립니다. 링크이동

등록일자 구분 파일명 확장자 다운로드
20160111193756 dataset/03/02/0007 37703.zip TIF
20160111193757 dataset/03/02/0007 37704.zip TIF
20160111193757 dataset/03/02/0007 37707.zip TIF
20160111193757 dataset/03/02/0007 37708.zip TIF
20160111193757 dataset/03/02/0007 37712.zip TIF
20160111193756 dataset/03/02/0007 37716.zip TIF
20160111193757 dataset/03/02/0007 37801.zip TIF
20160111193757 dataset/03/02/0007 37802.zip TIF
20160111193756 dataset/03/02/0007 37803.zip TIF
20160111193757 dataset/03/02/0007 37804.zip TIF
20160111193757 dataset/03/02/0007 37805.zip TIF
20160111193757 dataset/03/02/0007 37806.zip TIF
20160111193757 dataset/03/02/0007 37807.zip TIF
20160111193756 dataset/03/02/0007 37808.zip TIF
20160111193757 dataset/03/02/0007 37809.zip TIF
20160111193756 dataset/03/02/0007 37810.zip TIF
20160111193757 dataset/03/02/0007 37811.zip TIF
20160111193757 dataset/03/02/0007 37812.zip TIF
20160111193757 dataset/03/02/0007 37813.zip TIF
20160111193757 dataset/03/02/0007 37814.zip TIF
20160111193757 dataset/03/02/0007 37815.zip TIF
20160111193756 dataset/03/02/0007 37816.zip TIF
20160111193757 dataset/03/02/0007 37905.zip TIF
20160111193756 dataset/03/02/0007 37909.zip TIF
20160111193757 dataset/03/02/0007 37910.zip TIF
20160111193757 dataset/03/02/0007 37913.zip TIF
20160111193757 dataset/03/02/0007 37914.zip TIF
20160111193757 dataset/03/02/0007 38709.zip TIF
20160111193757 dataset/03/02/0007 38710.zip TIF
20160111193756 dataset/03/02/0007 38711.zip TIF
20160111193756 dataset/03/02/0007 38712.zip TIF
20160111193757 dataset/03/02/0007 38714.zip TIF
20160111193757 dataset/03/02/0007 38715.zip TIF
20160111193756 dataset/03/02/0007 38716.zip TIF
20160111193757 dataset/03/02/0007 38806.zip TIF
20160111193756 dataset/03/02/0007 38809.zip TIF
20160111193757 dataset/03/02/0007 38810.zip TIF
20160111193757 dataset/03/02/0007 38811.zip TIF
20160111193757 dataset/03/02/0007 38813.zip TIF
20160111193757 dataset/03/02/0007 38814.zip TIF
20160111193757 dataset/03/02/0007 38815.zip TIF
20160111193756 dataset/03/02/0007 36601.zip TIF
20160111193756 dataset/03/02/0007 36604.zip TIF
20160111193757 dataset/03/02/0007 36701.zip TIF
20160111193757 dataset/03/02/0007 36702.zip TIF
20160111193757 dataset/03/02/0007 37516.zip TIF
20160111193757 dataset/03/02/0007 37601.zip TIF
20160111193757 dataset/03/02/0007 37602.zip TIF
20160111193757 dataset/03/02/0007 37603.zip TIF
20160111193757 dataset/03/02/0007 37604.zip TIF
20160111193757 dataset/03/02/0007 37605.zip TIF
20160111193757 dataset/03/02/0007 37606.zip TIF
20160111193756 dataset/03/02/0007 37607.zip TIF
20160111193757 dataset/03/02/0007 37609.zip TIF
20160111193756 dataset/03/02/0007 37610.zip TIF
20160111193757 dataset/03/02/0007 37611.zip TIF
20160111193757 dataset/03/02/0007 37613.zip TIF
20160111193757 dataset/03/02/0007 37614.zip TIF
20160111193756 dataset/03/02/0007 37615.zip TIF
20160111193757 dataset/03/02/0007 37616.zip TIF
20160111193757 dataset/03/02/0007 37701.zip TIF
20160111193757 dataset/03/02/0007 37702.zip TIF
20160111193757 dataset/03/02/0007 37706.zip TIF
20160111193756 dataset/03/02/0007 37710.zip TIF
20160111193757 dataset/03/02/0007 37711.zip TIF
20160111193757 dataset/03/02/0007 37713.zip TIF
20160111193757 dataset/03/02/0007 37714.zip TIF
20160111193756 dataset/03/02/0007 37715.zip TIF
20160111193756 dataset/03/02/0007 38616.zip TIF
20160111193757 dataset/03/02/0007 38713.zip TIF
20160111193757 dataset/03/02/0007 34704.zip TIF
20160111193756 dataset/03/02/0007 34708.zip TIF
20160111193756 dataset/03/02/0007 34801.zip TIF
20160111193757 dataset/03/02/0007 34802.zip TIF
20160111193757 dataset/03/02/0007 34803.zip TIF
20160111193757 dataset/03/02/0007 34805.zip TIF
20160111193756 dataset/03/02/0007 34806.zip TIF
20160111193757 dataset/03/02/0007 34807.zip TIF
20160111193757 dataset/03/02/0007 35704.zip TIF
20160111193757 dataset/03/02/0007 35707.zip TIF
20160111193756 dataset/03/02/0007 35708.zip TIF
20160111193757 dataset/03/02/0007 35711.zip TIF
20160111193756 dataset/03/02/0007 35712.zip TIF
20160111193757 dataset/03/02/0007 35715.zip TIF
20160111193757 dataset/03/02/0007 35716.zip TIF
20160111193756 dataset/03/02/0007 35805.zip TIF
20160111193757 dataset/03/02/0007 35806.zip TIF
20160111193757 dataset/03/02/0007 35807.zip TIF
20160111193757 dataset/03/02/0007 35808.zip TIF
20160111193756 dataset/03/02/0007 35809.zip TIF
20160111193756 dataset/03/02/0007 35810.zip TIF
20160111193757 dataset/03/02/0007 35811.zip TIF
20160111193757 dataset/03/02/0007 35812.zip TIF
20160111193757 dataset/03/02/0007 35813.zip TIF
20160111193757 dataset/03/02/0007 35814.zip TIF
20160111193757 dataset/03/02/0007 35815.zip TIF
20160111193757 dataset/03/02/0007 35816.zip TIF
20160111193756 dataset/03/02/0007 35909.zip TIF
20160111193757 dataset/03/02/0007 35910.zip TIF
20160111193756 dataset/03/02/0007 35913.zip TIF
20160111193757 dataset/03/02/0007 35801.zip TIF
20160111193756 dataset/03/02/0007 35802.zip TIF
20160111193757 dataset/03/02/0007 35803.zip TIF
20160111193757 dataset/03/02/0007 35804.zip TIF
20160111193757 dataset/03/02/0007 35901.zip TIF
20160111193756 dataset/03/02/0007 35902.zip TIF
20160111193756 dataset/03/02/0007 35903.zip TIF
20160111193756 dataset/03/02/0007 35905.zip TIF
20160111193757 dataset/03/02/0007 35906.zip TIF
20160111193757 dataset/03/02/0007 36712.zip TIF
20160111193757 dataset/03/02/0007 36803.zip TIF
20160111193756 dataset/03/02/0007 36804.zip TIF
20160111193756 dataset/03/02/0007 36805.zip TIF
20160111193757 dataset/03/02/0007 36806.zip TIF
20160111193757 dataset/03/02/0007 36809.zip TIF
20160111193757 dataset/03/02/0007 36810.zip TIF
20160111193757 dataset/03/02/0007 36811.zip TIF
20160111193756 dataset/03/02/0007 36812.zip TIF
20160111193757 dataset/03/02/0007 36813.zip TIF
20160111193757 dataset/03/02/0007 36814.zip TIF
20160111193757 dataset/03/02/0007 36815.zip TIF
20160111193757 dataset/03/02/0007 36816.zip TIF
20160111193757 dataset/03/02/0007 36901.zip TIF
20160111193757 dataset/03/02/0007 36902.zip TIF
20160111193757 dataset/03/02/0007 36905.zip TIF
20160111193756 dataset/03/02/0007 36906.zip TIF
20160111193757 dataset/03/02/0007 36907.zip TIF
20160111193757 dataset/03/02/0007 36908.zip TIF
20160111193756 dataset/03/02/0007 36909.zip TIF
20160111193756 dataset/03/02/0007 36910.zip TIF
20160111193756 dataset/03/02/0007 36913.zip TIF
20160111193757 dataset/03/02/0007 36914.zip TIF
20160111193757 dataset/03/02/0007 36915.zip TIF
20160111193757 dataset/03/02/0007 37608.zip TIF
20160111193756 dataset/03/02/0007 37612.zip TIF
20160111193756 dataset/03/02/0007 37705.zip TIF
20160111193757 dataset/03/02/0007 37709.zip TIF
20160111193757 dataset/03/02/0007 33602.zip TIF
20160111193756 dataset/03/02/0007 34504.zip TIF
20160111193757 dataset/03/02/0007 34505.zip TIF
20160111193756 dataset/03/02/0007 34506.zip TIF
20160111193757 dataset/03/02/0007 34508.zip TIF
20160111193757 dataset/03/02/0007 34510.zip TIF
20160111193757 dataset/03/02/0007 34512.zip TIF
20160111193756 dataset/03/02/0007 34513.zip TIF
20160111193757 dataset/03/02/0007 34516.zip TIF
20160111193757 dataset/03/02/0007 34601.zip TIF
20160111193757 dataset/03/02/0007 34602.zip TIF
20160111193757 dataset/03/02/0007 34603.zip TIF
20160111193757 dataset/03/02/0007 34604.zip TIF
20160111193757 dataset/03/02/0007 34605.zip TIF
20160111193757 dataset/03/02/0007 34606.zip TIF
20160111193757 dataset/03/02/0007 34607.zip TIF
20160111193757 dataset/03/02/0007 34608.zip TIF
20160111193757 dataset/03/02/0007 34609.zip TIF
20160111193756 dataset/03/02/0007 34610.zip TIF
20160111193756 dataset/03/02/0007 34611.zip TIF
20160111193756 dataset/03/02/0007 34612.zip TIF
20160111193756 dataset/03/02/0007 34613.zip TIF
20160111193757 dataset/03/02/0007 34614.zip TIF
20160111193757 dataset/03/02/0007 34615.zip TIF
20160111193756 dataset/03/02/0007 34616.zip TIF
20160111193757 dataset/03/02/0007 34701.zip TIF
20160111193756 dataset/03/02/0007 34702.zip TIF
20160111193757 dataset/03/02/0007 34703.zip TIF
20160111193756 dataset/03/02/0007 34705.zip TIF
20160111193757 dataset/03/02/0007 34706.zip TIF
20160111193757 dataset/03/02/0007 34707.zip TIF
20160111193757 dataset/03/02/0007 34709.zip TIF
20160111193757 dataset/03/02/0007 34710.zip TIF
20160111193756 dataset/03/02/0007 34711.zip TIF
20160111193757 dataset/03/02/0007 34712.zip TIF
20160111193757 dataset/03/02/0007 34713.zip TIF
20160111193756 dataset/03/02/0007 34714.zip TIF
20160111193756 dataset/03/02/0007 35516.zip TIF
20160111193756 dataset/03/02/0007 35609.zip TIF
20160111193757 dataset/03/02/0007 35613.zip TIF
20160111193757 dataset/03/02/0007 35614.zip TIF
20160111193756 dataset/03/02/0007 35615.zip TIF
20160111193756 dataset/03/02/0007 35616.zip TIF
20160111193756 dataset/03/02/0007 35713.zip TIF
20160111193757 dataset/03/02/0007 35714.zip TIF
20160111193756 dataset/03/02/0007 35602.zip TIF
20160111193757 dataset/03/02/0007 35603.zip TIF
20160111193757 dataset/03/02/0007 35604.zip TIF
20160111193757 dataset/03/02/0007 35605.zip TIF
20160111193756 dataset/03/02/0007 35606.zip TIF
20160111193756 dataset/03/02/0007 35607.zip TIF
20160111193756 dataset/03/02/0007 35608.zip TIF
20160111193756 dataset/03/02/0007 35610.zip TIF
20160111193757 dataset/03/02/0007 35611.zip TIF
20160111193757 dataset/03/02/0007 35612.zip TIF
20160111193756 dataset/03/02/0007 35701.zip TIF
20160111193756 dataset/03/02/0007 35702.zip TIF
20160111193757 dataset/03/02/0007 35703.zip TIF
20160111193757 dataset/03/02/0007 35705.zip TIF
20160111193757 dataset/03/02/0007 35706.zip TIF
20160111193757 dataset/03/02/0007 35709.zip TIF
20160111193757 dataset/03/02/0007 35710.zip TIF
20160111193756 dataset/03/02/0007 33606.zip TIF
20160111193756 dataset/03/02/0007 33607.zip TIF
20160111193756 dataset/03/02/0007 33608.zip TIF
20160111193757 dataset/03/02/0007 33610.zip TIF
20160111193756 dataset/03/02/0007 33611.zip TIF
20160111193757 dataset/03/02/0007 33612.zip TIF
20160111193757 dataset/03/02/0007 36516.zip TIF
20160111193756 dataset/03/02/0007 36602.zip TIF
20160111193757 dataset/03/02/0007 36603.zip TIF
20160111193757 dataset/03/02/0007 36605.zip TIF
20160111193756 dataset/03/02/0007 36606.zip TIF
20160111193757 dataset/03/02/0007 36607.zip TIF
20160111193757 dataset/03/02/0007 36608.zip TIF
20160111193757 dataset/03/02/0007 36610.zip TIF
20160111193756 dataset/03/02/0007 36611.zip TIF
20160111193757 dataset/03/02/0007 36612.zip TIF
20160111193756 dataset/03/02/0007 36613.zip TIF
20160111193757 dataset/03/02/0007 36614.zip TIF
20160111193757 dataset/03/02/0007 36615.zip TIF
20160111193757 dataset/03/02/0007 36616.zip TIF
20160111193756 dataset/03/02/0007 36705.zip TIF
20160111193757 dataset/03/02/0007 36709.zip TIF
20160111193757 dataset/03/02/0007 36713.zip TIF
20160111193757 dataset/03/02/0007 36703.zip TIF
20160111193757 dataset/03/02/0007 36704.zip TIF
20160111193757 dataset/03/02/0007 36706.zip TIF
20160111193757 dataset/03/02/0007 36707.zip TIF
20160111193757 dataset/03/02/0007 36708.zip TIF
20160111193757 dataset/03/02/0007 36710.zip TIF
20160111193756 dataset/03/02/0007 36711.zip TIF
20160111193757 dataset/03/02/0007 36714.zip TIF
20160111193757 dataset/03/02/0007 36715.zip TIF
20160111193757 dataset/03/02/0007 36716.zip TIF
20160111193757 dataset/03/02/0007 36801.zip TIF
20160111193757 dataset/03/02/0007 36802.zip TIF

추가 정보

* 리소스의 추가정보를 원하시면 데이터리소스 영역의 버튼을 클릭해주세요.

필드
데이터셋명

토지피복분류도(1:50000)

데이터유형

공간

데이터설명

국토의 표면현황을 환경적, 과학적 기준에 따라 분류하여, 동질의 특성을 지닌 구역을 색깔로 쉽게 구분이 가능토록 한 전자지도

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